Table of Contents

• MAAI optimization on customer serviceTaiga Arai, Yusuke Chida, Yukihiko Okada, Keiichi Zempo. 1-4 [doi]
• IoT Skullfort: exploring the impact of internet connected cosplayRhys Beckett, Charith Perera. 5-8 [doi]
• Neural network-based indoor tag-less localization using capacitive sensorsOsama Bin Tariq, Mihai Teodor Lazarescu, Luciano Lavagno. 9-12 [doi]
• Augmented reality smartphone compasses: opportunity or oxymoron?David S. Bowers. 13-16 [doi]
• Efficient convolutional neural network for FMCW radar based hand gesture recognitionXiaodong Cai, Jingyi Ma, Wei Liu, Hemin Han, Lili Ma. 17-20 [doi]
• Gesture recognition based on ConvLSTM-attention implementation of small data sEMG signalsXin Cao, Masami Iwase, Jun Inoue, Eisaku Maeda. 21-24 [doi]
• Handwritten signature verification by using a six-axis motion sensor and SVMChang-Chieh Cheng, Yi-Chi Chen, Yu-Tai Ching. 25-28 [doi]
• Identifying urban villages from city-wide satellite imagery leveraging mask R-CNNLongbiao Chen, Tianqi Xie, Xueyi Wang, Cheng Wang 0003. 29-32 [doi]
• Shadower: applying shadows to children's outdoor interactionYang Chen, Yuyu Lin, Lijuan Liu, Cheng Yao, Fangtian Ying. 33-36 [doi]
• Exploring the usefulness of bluetooth and wifi proximity for transportation mode recognitionVlad C. Coroama, Can Türk, Friedemann Mattern. 37-40 [doi]
• Eldertainment or functional necessity?: how virtual agents affect the home lives of people with dementia using the quality of life (QOL-AD) scaleMichiel de Jong, Marike Hettinga, Vera Stara, Vanessa Evers, Jamy Li. 41-44 [doi]
• Pneuxels: a platform for physically manifesting object-based crowd interactions in large scalesManoj Deshpande, Saquib Sarwar, Atefeh Mahdavi Goloujeh, Dimitris Papanikolaou. 45-48 [doi]
• Tracing the intangible: the curious gestures of crafts' cultural heritagePatricia Jean Flanagan, Angelo Fraietta. 49-52 [doi]
• SmartLobby: using a 24/7 remote head-eye-tracking for content personalizationStefan Fuchs, Nils Einecke, Fabian Eisele. 53-56 [doi]
• A method to recognize entering and leaving person based on door opening and closing movement using angular velocity sensorKyosuke Futami, Akari Fukao, Kazuya Murao. 57-60 [doi]
• Data distribution infrastructure and applications for robotic therapy for blind elderlyKyosuke Futami, Yutaka Yanagisawa, Hiroshi Hoshino, Aiko Matsumori, Masahiko Tsukamoto, Daisuke Kotani, Yasuo Okabe. 61-64 [doi]
• Measuring street enclosure and its influence to human physiology through wearable sensorsErcument Gorgul, Chaoran Chen, Katrina Karyee Wu, Yifan Guo. 65-68 [doi]
• Mapping human response to street experience: a study on comparing walking with cycling on streets through wearable sensorsErcument Gorgul, Liuyi Zhang, Franziska Günther, Chaoran Chen. 69-72 [doi]
• Model-based real time analysis of distributed human activity recognition stages in wireless sensor networksFlorian Grützmacher, Benjamin Beichler, Christian Haubelt. 73-76 [doi]
• Identifying causal patterns from mobile sensing data: a case study on blood glucose inferenceMiao He, Weixi Gu, Ying Kong, Lin Zhang. 77-80 [doi]
• Human activity recognition using earable deviceTahera Hossain, Md Shafiqul Islam, Md Atiqur Rahman Ahad, Sozo Inoue. 81-84 [doi]
• Electrooculography dataset for reading detection in the wildShoya Ishimaru, Takanori Maruichi, Manuel Landsmann, Koichi Kise, Andreas Dengel 0001. 85-88 [doi]
• Exploring non-emissive wearable display as a clothing accessoryPradthana Jarusriboonchai, Emma Napari, Oskar Juhlin, Jonna Häkkilä. 89-92 [doi]
• BoardWatch: a tree-enhanced regression model for billboard popularity prediction with multi-source urban dataYao Jing, Bin Guo, Yan Liu, Daqing Zhang 0001, Zhiwen Yu 0001. 93-96 [doi]
• Towards multi-person motion forecasting: IMU based motion capture approachYasuo Katsuhara, Hirotaka Kaji. 97-100 [doi]
• Predicting opportune moments for in-vehicle proactive speech servicesAuk Kim, Woohyeok Choi, Jung-Mi Park, Kye-Yoon Kim, Uichin Lee. 101-104 [doi]
• Robust classification of eating sound collected in natural meal environmentTakumi Kondo, Haruka Kamachi, Shun Ishii, Anna Yokokubo, Guillaume Lopez. 105-108 [doi]
• Classification of reading and not reading behavior based on eye movement analysisManuel Landsmann, Olivier Augereau, Koichi Kise. 109-112 [doi]
• Smart eyewear enabled interactive pet toy for users with limited mobilityYuyu Lee, Michi Kanda, Jiarui Zu, Fangqing Zhengren, George Chernyshov, Kai Kunze. 113-116 [doi]
• TONG: a wearable system to remind people of interpersonal distanceShuo Li, Yifan Yang, Mingxuan He, Ying Wang, Cheng Yao. 117-120 [doi]
• Effect of bonding and washing on electronic textile stretch sensor propertiesAn Liang, Rebecca Stewart, Rachel Freire, Nick Bryan-Kinns. 121-124 [doi]
• UDSP+: stress detection based on user-reported emotional ratings and wearable skin conductance sensorAlexandros Liapis, Christos Katsanos, Nikos Karousos, Michalis Xenos, Theofanis Orphanoudakis. 125-128 [doi]
• Smart cook: making cooking easier with multimodal learningHyoyoung Lim, Xiaolei Huang, Samuel Miller, Joshua Edelmann, Timothy Euken, Stephen Voida. 129-132 [doi]
• ShapeSense3D: textile-sensing and reconstruction of body geometriesPasindu Lugoda, Leonardo A. Garcia-Garcia, Sebastien Richoz, Niko Münzenrieder, Daniel Roggen. 133-136 [doi]
• A sequence-to-sequence model for cell-ID trajectory predictionMingqi Lv, Dajian Zeng, Tieming Chen, Ling Chen 0001. 137-140 [doi]
• Pervasive augmented reality for indoor uninterrupted experiences: a user studyBernardo Marques, Raphael Carvalho, Paulo Dias, Beatriz S. Santos. 141-144 [doi]
• Bike type identification using smartphone sensorsViktor Matkovic, Marian Waltereit, Peter Zdankin, Maximilian Uphoff, Torben Weis. 145-148 [doi]
• Towards detecting and mitigating smartphone habitsAlberto Monge Roffarello, Luigi De Russis. 149-152 [doi]
• I'm listening: the effect of cue difference to elicit user's continuous turn-taking with A.I. agent in TVYohan Moon, Yeri Jeong, Eugene Seo. 153-156 [doi]
• Signal propagation analysis in multiuser human body communicationDairoku Muramatsu, Ken Sasaki. 157-159 [doi]
• Data transmission method using touch generation device for multi-touch displayYuuki Nagamatsu, Kazuya Murao. 160-163 [doi]
• Estimation of student's engagement based on the postureKazuaki Nomura, Motoi Iwata, Olivier Augereau, Koichi Kise. 164-167 [doi]
• Towards in-situ process tomography data processing using augmented reality technologyAdam Nowak, Mikolaj Wozniak, Zdzislawa Rowinska, Krzysztof Grudzien, Andrzej Romanowski. 168-171 [doi]
• Smartphone colorimetry using ambient subtraction: application to neonatal jaundice screening in GhanaFelix Outlaw, Miranda Nixon, Nana Okai Brako, Lindsay W. MacDonald, Judith Meek, Christabel Enweronu-Laryea, Terence S. Leung. 172-175 [doi]
• Non-contact thermal sensing on acoustic-enabled IoT devicesHenglin Pu, Chao Cai, Menglan Hu, Rong Zheng. 176-178 [doi]
• Theory informed framework for integrating environmental and physiologic data in applications targeting productivity and well-being in workplaceSujata Punait, Gregory F. Lewis. 179-182 [doi]
• Challenges & solutions in a hybrid mHealth mobile appYatharth Ranjan, Amos A. Folarin, Callum L. Stewart, Pauline Conde, Richard J. B. Dobson, Zulqarnain Rashid. 183-186 [doi]
• DeepSleep: a ballistocardiographic deep learning approach for classifying sleep stagesShashank Rao, Abdallah El-Ali, Pablo César. 187-190 [doi]
• LightStress: targeting stress reduction through affective objectsAna Rodrigues, Laís Lopes, Carlos Costa, Diogo Cabral. 191-193 [doi]
• Toward digital image processing and eye tracking to promote visual attention for people with autismViseth Sean, Franceli L. Cibrian, Jazette Johnson, Hollis Pass, LouAnne Boyd. 194-197 [doi]
• Using vibrations from a SmartRing as an out-of-band channel for sharing secret keysSougata Sen, Varun Mishra, David Kotz. 198-201 [doi]
• PASNIC: a thermal based privacy-aware sensor node for image capturingYoshinari Shirai, Yasue Kishino, Takayuki Suyama, Shin Mizutani. 202-205 [doi]
• One leg at a time: towards optimised design engineering of textile sensors in trousersSophie Skach, Rebecca Stewart. 206-209 [doi]
• Sleep stages classifier with eliminated apnea impactKostyantyn Slyusarenko, Illia Fedorin, Wonkyu Lee. 210-213 [doi]
• Decision making support for privacy data upload in smart homeSopicha Stirapongsasuti, Wataru Sasaki, Keiichi Yasumoto. 214-217 [doi]
• Identifying self-changeable actions toward regulating rhythm of daily lifeMasami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Tatsushi Matsubayashi, Hiroyuki Toda. 218-221 [doi]
• Designing a wearable technology application for enhancing executive functioning skills in children with ADHDArya Tavakoulnia, Kayla Guzman, Franceli L. Cibrian, Kimberley D. Lakes, Gillian R. Hayes, Sabrina E. B. Schuck. 222-225 [doi]
• Designing navigation aides for wildland firefightersLucy Van Kleunen, Joel Holton, Daniel Strawn, Stephen Voida. 226-229 [doi]
• SpiderHand: towards quasi-direct interaction with unpleasant creatures using muscle-controlled robotic armMikolaj Wozniak, Julia Dominiak, Maya Malaya, Piotr Luczak, Krzysztof Grudzien, Andrzej Romanowski, Zbigniew Chaniecki, Pawel W. Wozniak. 230-233 [doi]
• Caloric expenditure estimation from human kinetic energy in wearable devicesLing Xiao, Kai Wu, Juan Luo. 234-237 [doi]
• Combining a thermal camera and a wristband sensor for thermal comfort estimationHiroki Yoshikawa, Akira Uchiyama, Yuki Nishikawa, Teruo Higashino. 238-241 [doi]
• Using sensing technologies, self-reported information, and interpersonal observations to promote health and well-being in the workplaceChuang-wen You, Hung-Yeh Lin, Lu-Hua Shih, Yaliang Chuang, Tima Chien-Wen Yuan, Hao-Chuan Wang. 242-245 [doi]
• Activity prediction for mapping contextual-temporal dynamicsYuting Zhan, Hamed Haddadi. 246-249 [doi]
• A smartphone-based behavioural activation application using recommender systemTao Zhang, Geoff A. Jarrad, Susan A. Murphy, Niranjan Bidargaddi. 250-253 [doi]
• Feel the pressure: a haptic-feedback device for wearable musical instrument interactionJean-Baptiste Biernacki, Po-wen Kao, Sai Sourabh Tiruvaipati, Philipp M. Scholl. 254-256 [doi]
• AiRite: infrastructure-free cursive writing and drawing in air using smart devicesVivek Chandel, Avik Ghose. 257-259 [doi]
• A contactless gesture interaction system using LTE (4G) signalsWeiyan Chen, Kai Niu, Dan Wu, Deng Zhao, Leye Wang, Daqing Zhang 0001. 260-263 [doi]
• http: //eyewear.pro: an open platform to record and analyze large scale data sets from smart eyewearGeorge Chernyshov, Kai Kunze, Benjamin Tag, Jamie A. Ward, Yuji Uema. 264-265 [doi]
• Hybrid data-driven and context-aware activity recognition with mobile devicesGabriele Civitarese, Riccardo Presotto, Claudio Bettini. 266-267 [doi]
• iSNoW: user perceptions of an interactive social novelty wearableDawson Clark, Fiona Westin, Audrey Girouard. 268-271 [doi]
• A social wearable that affords vulnerabilityElla Dagan, Ferran Altarriba Bertran, Elena Márquez Segura, Miguel Flores, Katherine Isbister. 272-273 [doi]
• ASSV: handwritten signature verification using acoustic signalsFeng Ding, Dong Wang, Qian Zhang 0012, Run Zhao. 274-277 [doi]
• UbiCAT: wearable technology for ubiquitous cognitive assessmentPegah Hafiz, Jakob E. Bardram. 278-279 [doi]
• Visual large-scale industrial interaction processingChristoph Heindl, Gernot Stübl, Thomas Pönitz, Andreas Pichler, Josef Scharinger. 280-283 [doi]
• ARIA: interactive damage prediction system for urban flood using simulation and emulation federation platformKei Hiroi, Tomoya Inoue, Kunio Akashi, Tsubasa Yumura, Toshiyuki Miyachi, Hayate Hironaka, Hironobu Kanno, Yoichi Shinoda. 284-287 [doi]
• HiveTracker: 3D positioning for ubiquitous embedded systemsCédric Honnet, Gonçalo Lopes. 288-291 [doi]
• Proactive car navigation: how can destination prediction give us new navigation experience?Ryo Imai, Kosuke Watanabe, Kota Tsubouchi, Masamichi Shimosaka. 292-295 [doi]
• Dyslexic and private reader: an eye-tracking platform for reading interactions with applications to increase empathy and privacyKirill Ragozin, Kai Kunze. 296-297 [doi]
• LiftSmart: a monitoring and warning wearable for weight trainersYousef Kowsar, Eduardo Velloso, Lars Kulik, Christopher Leckie. 298-301 [doi]
• Bedtime window: a system enabling sharing of bedtime for long-distance couplesJan Kucera, James Scott, Siân E. Lindley, Patrick Olivier. 302-305 [doi]
• JacquardToolkit: enabling and exploring interactions with the Levi's jacquard jacketAayush Kumar, Caleb Rudnicki, Rhea Chatterjee, Kenzy Mina, Obinna Onyeije, Thad Starner. 306-307 [doi]
• From plastic to biomaterials: prototyping DIY electronics with myceliumEldy S. Lazaro Vasquez, Katia Vega. 308-311 [doi]
• Semantic human activity annotation tool using skeletonized surveillance videosBokyung Lee, Michael Lee, Pan Zhang, Alexander Tessier, Azam Khan. 312-315 [doi]
• A real-time and robust intrusion detection system with commodity wi-fiShengjie Li, Zhaopeng Liu, Yue Zhang, XiaoPeng Niu, Leye Wang, Daqing Zhang 0001. 316-319 [doi]
• Tangible urban models: two-way interaction through 3D printed conductive tangibles and AR for urban planningMarla Narazani, Chloe Eghtebas, Sarah L. Jenney, Michael Mühlhaus. 320-323 [doi]
• Combining implicit gaze and AI for real-time intention projectionJoshua Newn, Ronal Singh, Eduardo Velloso, Frank Vetere. 324-327 [doi]
• A contactless Morse code text input system using COTS wifi devicesKai Niu, Fusang Zhang, Yuhang Jiang, Zhaoxin Chang, Leye Wang, Daqing Zhang 0001. 328-331 [doi]
• Explaining automated environments: interrogating scripts, logs, and provenance using voice-assistantsChris Norval, Jatinder Singh. 332-335 [doi]
• Construction of a device that automatically generates various touch interactionsMasahiro Okamoto, Kazuya Murao. 336-338 [doi]
• PartsSweeper: interactive workbench to casually organize electronic parts and toolsMasayuki Orihara, Koji Tsukada. 339-341 [doi]
• CityAtmosphere: VR image to glimpse wishes in the airTakayuki Sakamoto, Hiraki Yasuda, Akira Tsujimoto, Mutsuhiro Iwamoto, Yuta Hayakawa, Takuto Usami, Kota Tsubouchi, Masamichi Shimosaka. 342-345 [doi]
• Tap2Pair: associating wireless devices with tappingJianfei Shen, Tengxiang Zhang, Yiqiang Chen. 346-349 [doi]
• IMU-Kinect: a motion sensor-based gait monitoring system for intelligent healthcarePeicheng Yang, Lei Xie, Chuyu Wang, Sanglu Lu. 350-353 [doi]
• A CSI-ratio model based house-level respiration monitoring system using COTS wifi devicesYouwei Zeng, Enze Yi, Dan Wu, Ruiyang Gao, Daqing Zhang 0001. 354-357 [doi]
• Personal bits: mining interaction traces for personalized task intelligenceFanglin Chen, Jason I. Hong. 358-362 [doi]
• A co-design toolkit for wearable e-textilesLee Jones. 363-366 [doi]
• Gaze assisted voice note taking systemAnam Ahmad Khan. 367-371 [doi]
• Secure communication protocol for smart transportation based on vehicular cloudTrupil Limbasiya, Debasis Das, Sanjay K. Sahay. 372-376 [doi]
• Towards indoor localisation analytics for modelling flows of movementsGabriele Marini. 377-382 [doi]
• Social help: developing methods to support older adults in mobile privacy and securityTamir Mendel. 383-387 [doi]
• From sensing to intervention for mental and behavioral healthVarun Mishra. 388-392 [doi]
• Integrated system of monitoring and intervention for in-home healthcare and treatmentJunhyung Moon, Kyoungwoo Lee, Yong Seung Lee. 393-398 [doi]
• Using contactless sensors to estimate learning difficulty in digital learning environmentsNamrata Srivastava. 399-403 [doi]
• Psychophysiological monitoring of aerospace crew stateGrace C. Wusk, Andrew F. Abercromby, Hampton C. Gabler. 404-407 [doi]
• Audio augmented reality for human-object interactionsJing Yang, Friedemann Mattern. 408-412 [doi]
• Towards automating smart homes: contextual and temporal dynamics of activity predictionYuting Zhan, Hamed Haddadi. 413-417 [doi]
• AppLens 2019: the 2nd international workshop on mining and learning from smartphone apps for usersSha Zhao, Yong Li, Sasu Tarkoma, Zhiwen Yu, Anind K. Dey, Gang Pan. 418-421 [doi]
• Discovering eating routines in context with a smartphone appDaniel Gatica-Perez, Joan-Isaac Biel, David Labbe, Nathalie Martin. 422-429 [doi]
• A novel smartphone application for indoor positioning of users based on machine learningElaheh Homayounvala, Mohammad Nabati, Reza Shahbazian, Seyed Ali Ghorashi, Vahideh Moghtadaiee. 430-437 [doi]
• Smartphone interaction and survey data as predictors of snapchat usageBeryl Noë, Liam D. Turner, Roger M. Whitaker. 438-445 [doi]
• Activity recognition in outdoor sports environments: smart data for end-users involving mobile pervasive augmented reality systemsRui Miguel Pascoal, Ana de Almeida, Rute C. Sofia. 446-453 [doi]
• Beyond individuals: exploring social experiences around wearablesPradthana Jarusriboonchai, Felix A. Epp, Thomas Olsson 0002, Andrés Lucero, Oscar Tomico, Eric Paulos, Jonna Häkkilä. 454-456 [doi]
• The EEG visualising pendant for social situationsRain Ashford. 457-458 [doi]
• Balancing caregivers and children interaction to support the development of self-regulation skills using a smartwatch applicationFranceli L. Cibrian, Kimberley D. Lakes, Sabrina Schuck, Arya Tavakoulnia, Kayla Guzman, Gillian R. Hayes. 459-460 [doi]
• Workshop presentation of a social wearable that affords vulnerabilityElla Dagan, Ferran Altarriba Bertran, Elena Márquez Segura, Miguel Flores, Katherine Isbister. 461-462 [doi]
• Cosplay as inspiration for wearables researchElla-Noora Polvi, Pradthana Jarusriboonchai, Jonna Häkkilä. 463-464 [doi]
• CML-IOT 2019: the first workshop on continual and multimodal learning for internet of thingsTong Yu, Shijia Pan, Susu Xu, Yilin Shen, Botao Hao. 465-467 [doi]
• Audio-visual TED corpus: enhancing the TED-LIUM corpus with facial information, contextual text and object recognitionGuan-Lin Chao, Chih Chi Hu, Bing Liu, John Paul Shen, Ian Lane. 468-473 [doi]
• mLung++: automated characterization of abnormal lung sounds in pulmonary patients using multimodal mobile sensorsSoujanya Chatterjee, Md Mahbubur Rahman, Ebrahim Nemati, Viswam Nathan, Korosh Vatanparvar, Jilong Kuang. 474-481 [doi]
• Neural caption generation over figuresCharles Chen, Ruiyi Zhang, SungChul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu. 482-485 [doi]
• PRECEPT: occupancy presence prediction inside a commercial buildingAnooshmita Das, Mikkel Baun Kjærgaard. 486-491 [doi]
• Apply event extraction techniques to the judicial fieldChuanyi Li, Yu Sheng, JiDong Ge, Bin Luo 0003. 492-497 [doi]
• Inferring fine-grained air pollution map via a spatiotemporal super-resolution schemeNing Liu, Rui Ma, Yue Wang, Lin Zhang 0001. 498-504 [doi]
• Unsupervised domain adaptation for robust sensory systemsAkhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D. Lane, Fahim Kawsar. 505-509 [doi]
• AttriNet: learning mid-level features for human activity recognition with deep belief networksHarideep Nair, Cathy Tan, Ming Zeng, Ole J. Mengshoel, John Paul Shen. 510-517 [doi]
• AutoTag: visual domain adaptation for autonomous retail stores through multi-modal sensingCarlos Ruiz, Joao Falcao, Pei Zhang. 518-523 [doi]
• Towards a taxonomy of interactive continual and multimodal learning for the internet of thingsAgnes Tegen, Paul Davidsson, Jan A. Persson. 524-528 [doi]
• iSCAN: automatic speaker adaptation via iterative cross-modality associationYuanbo Xiangli, Chris Xiaoxuan Lu, Peijun Zhao, Changhao Chen, Andrew Markham. 529-533 [doi]
• CPD 2019: the 2nd international workshop on combining physical and data-driven knowledge in ubiquitous computingXinlei Chen, Shijia Pan, Jorge Ortiz. 534-536 [doi]
• Motion2Vector: unsupervised learning in human activity recognition using wrist-sensing dataLu Bai, Chris Yeung, Christos Efstratiou, Moyra Chikomo. 537-542 [doi]
• A multi-modal approach for non-invasive detection of coronary artery diseaseRohan Banerjee, Avik Ghose, Aniruddha Sinha, Arpan Pal, K. M. Mandana. 543-550 [doi]
• Rotation-equivariant convolutional neural network ensembles in image processingLiyao Gao, Hongshan Li, Zheying Lu, Guang Lin. 551-557 [doi]
• An agile approach for human gesture detection using synthetic radar dataAndrew Gigie, Smriti Rani, Arijit Chowdhury, Tapas Chakravarty, Arpan Pal. 558-564 [doi]
• Causal feature selection for physical sensing data: a case study on power events predictionMiao He, Weixi Gu, Yuxun Zhou, Ying Kong, Lin Zhang. 565-570 [doi]
• Recycling price prediction of renewable resourcesYe Lu, Xinlei Chen, Bo Jie Wang, Teng Yue Wang, Pei Zhang, Yong Li. 571-576 [doi]
• A deep autoencoder model for pollution map recovery with mobile sensing networksRui Ma, Ning Liu, Xiangxiang Xu 0001, Yue Wang, Hae Young Noh, Pei Zhang 0001, Lin Zhang 0001. 577-583 [doi]
• Towards context-free semantic localisationGabriele Marini, Jorge Gonçalves 0001, Eduardo Velloso, Raja Jurdak, Vassilis Kostakos. 584-591 [doi]
• Degradable inference for energy autonomous vision applicationsAlessandro Montanari, Mohammed Alloulah, Fahim Kawsar. 592-597 [doi]
• Improving wearable sensor data quality using context markersChaofan Wang, Zhanna Sarsenbayeva, Chu Luo, Jorge Gonçalves 0001, Vassilis Kostakos. 598-601 [doi]
• City-scale vehicle tracking and traffic flow estimation using low frame-rate traffic camerasPeter Wei, Haocong Shi, Jiaying Yang, Jingyi Qian, Yinan Ji, Xiaofan Jiang. 602-610 [doi]
• P-Loc: a device-free indoor localization system utilizing building power-line networkTian Zhou, Yue Zhang, Xinlei Chen, Khaild M. Mosalam, Hae Young Noh, Pei Zhang 0001, Lin Zhang 0001. 611-615 [doi]
• Eyewear 2019: third workshop on eyewear computing - focus: social interactionsBenjamin Tag, Jamie A. Ward, Yuji Uema, Kai Kunze. 616-618 [doi]
• Towards 3D smooth pursuit interactionMarcel Breitenfellner, Florian Jungwirth, Alois Ferscha. 619-623 [doi]
• A method to recognize eye movements based on uplift movement of skinKyosuke Futami. 624-627 [doi]
• EyeControl: wearable assistance for industrial maintenance tasksFlorian Jungwirth, Benedikt Gollan, Marcel Breitenfellner, Pratheeban Elancheliyan, Alois Ferscha. 628-632 [doi]
• The Hitchhiker's guide to the eyewear applicationsSuzi Kim, Sunghee Choi. 633-636 [doi]
• AI-mediated gaze-based intention recognition for smart eyewear: opportunities & challengesJoshua Newn, Benjamin Tag, Ronal Singh, Eduardo Velloso, Frank Vetere. 637-642 [doi]
• Capturing attentional problems with smart eyewearKati Pettersson, Kiti Müller, Laura Sokka, Satu Pakarinen. 643-646 [doi]
• EEGlass: an EEG-eyeware prototype for ubiquitous brain-computer interactionAthanasios Vourvopoulos, Evangelos Niforatos, Michail Giannakos. 647-652 [doi]
• Electrodermal activity sensing using smart eyewearDingding Zheng, George Chernyshov, Kai Kunze. 653-656 [doi]
• Cognitive load assessment from facial temperature using smart eyewearFangqing Zhengren, George Chernyshov, Dingding Zheng, Kai Kunze. 657-660 [doi]
• Ubiquitous smart eyewear interactions using implicit sensing and unobtrusive information outputQiushi Zhou, Joshua Newn, Benjamin Tag, Hao-Ping Lee, Chaofan Wang, Eduardo Velloso. 661-666 [doi]
• A theoretical framework to study long-term use of smart eyewearNiek Zuidhof, Somaya Ben Allouch, Oscar Peters, Peter-Paul Verbeek. 667-670 [doi]
• 7th international workshop on human activity sensing corpus and applications (HASCA)Kazuya Murao, Yu Enokibori, Hristijan Gjoreski, Paula Lago, Tsuyoshi Okita 0003, Pekka Siirtola, Kei Hiroi, Philipp M. Scholl, Mathias Ciliberto. 671-673 [doi]
• POIDEN: position and orientation independent deep ensemble network for the classification of locomotion and transportation modesMasud Ahmed, Anindya Das Antar, Tahera Hossain, Sozo Inoue, Md Atiqur Rahman Ahad. 674-679 [doi]
• Orange labs contribution to the Sussex-Huawei locomotion-transportation recognition challengeAzzam Alwan, Vincent Frey, Gaël Le Lan. 680-684 [doi]
• Semi-supervised learning for human activity recognition using adversarial autoencodersDmitrijs Balabka. 685-688 [doi]
• Activity recognition using ST-GCN with 3D motion dataXin Cao, Wataru Kudo, Chihiro Ito, Masaki Shuzo, Eisaku Maeda. 689-692 [doi]
• EmbraceNet for activity: a deep multimodal fusion architecture for activity recognitionJun Ho Choi, Jong-Seok Lee. 693-698 [doi]
• Let there be IMU data: generating training data for wearable, motion sensor based activity recognition from monocular RGB videosVítor Fortes Rey, Peter Hevesi, Onorina Kovalenko, Paul Lukowicz. 699-708 [doi]
• Transportation mode classification from smartphone sensors via a long-short-term-memory networkBjörn Friedrich, Benjamin Cauchi, Andreas Hein, Sebastian J. F. Fudickar. 709-713 [doi]
• Cross-dataset deep transfer learning for activity recognitionMartin Gjoreski, Stefan Kalabakov, Mitja Lustrek, Hristijan Gjoreski. 714-718 [doi]
• Nurse care activity recognition: a GRU-based approach with attention mechanismMd Nazmul Haque, Mahir Mahbub, Md. Hasan Tarek, Lutfun Nahar Lota, Amin Ahsan Ali. 719-723 [doi]
• CNN for human activity recognition on small datasets of acceleration and gyro sensors using transfer learningChihiro Ito, Masaki Shuzo, Eisaku Maeda. 724-729 [doi]
• Cross-location transfer learning for the sussex-huawei locomotion recognition challengeVito Janko, Martin Gjoreski, Carlo Maria De Masi, Nina Resçiç, Mitja Lustrek, Matjaz Gams. 730-735 [doi]
• Can a simple approach identify complex nurse care activity?Md. Eusha Kadir, Pritom Saha Akash, Sadia Sharmin, Amin Ahsan Ali, Mohammad Shoyaib. 736-740 [doi]
• Gesture recognition method with acceleration data weighted by sEMGDaiki Kajiwara, Kazuya Murao. 741-745 [doi]
• Nurse care activity recognition challenge: summary and resultsPaula Lago, Sayeda Shamma Alia, Shingo Takeda, Tittaya Mairittha, Nattaya Mairittha, Farina Faiz, Yusuke Nishimura, Kohei Adachi, Tsuyoshi Okita 0003, François Charpillet, Sozo Inoue. 746-751 [doi]
• Appraisal theory-based mobile app for physiological data collection and labelling in the wildFanny Larradet, Radoslaw Niewiadomski, Giacinto Barresi, Leonardo S. Mattos. 752-756 [doi]
• Locomotion recognition using XGBoost and neural network ensembleHong Lu 0006, Maximilian Pinaroc, Mengchun Lv, Shouwei Sun, Hemin Han, Rahul C. Shah. 757-760 [doi]
• Optimizing activity data collection with gamification points using uncertainty based active learningNattaya Mairittha, Tittaya Mairittha, Sozo Inoue. 761-767 [doi]
• A dialogue-based annotation for activity recognitionTittaya Mairittha, Nattaya Mairittha, Sozo Inoue. 768-773 [doi]
• Ballroom dance step type recognition by random forest using video and wearable sensorHitoshi Matsuyama, Kei Hiroi, Katsuhiko Kaji, Takuro Yonezawa, Nobuo Kawaguchi. 774-780 [doi]
• The practicability of predicting the number of bus passengers by monitoring wi-fi signal from mobile devices with the polynomial regressionThongtat Oransirikul, Hideyuki Takada. 781-787 [doi]
• Nurse care activity recognition challenge using a supervised methodologyNazmus Sakib Patwary, Protap Kumar Saha, Ifthakhar Ahmed. 788-792 [doi]
• Crowdsensing under recent mobile platform background service restrictions: a practical approachOliver Petter, Marco Hirsch, Eshan Mushtaq, Péter Hevesi, Paul Lukowicz. 793-797 [doi]
• Transportation recognition with the Sussex-Huawei Locomotion challengeYanjun Qin, Chenxing Wang, Haiyong Luo. 798-802 [doi]
• Benchmarking deep classifiers on mobile devices for vision-based transportation recognitionSebastien Richoz, Andrés Pérez-Uribe, Philip Birch, Daniel Roggen. 803-807 [doi]
• Position independent activity recognition using shallow neural architecture and empirical modelingSwapnil Sayan Saha, Shafizur Rahman, Zarin Rezwana Ridita Haque, Tahera Hossain, Sozo Inoue, Md Atiqur Rahman Ahad. 808-813 [doi]
• CoAT: a web-based, collaborative annotation toolAziret Satybaldiev, Peter Hevesi, Marco Hirsch, Vítor Fortes Rey, Paul Lukowicz. 814-818 [doi]
• Automatic annotation for human activity and device state recognition using smartphone notificationRyota Sawano, Kazuya Murao. 819-824 [doi]
• M3B corpus: multi-modal meeting behavior corpus for group meeting behavior corpus for group meeting assessmentYusuke Soneda, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto. 825-834 [doi]
• Reduction of marker-body matching work in activity recognition using motion captureShingo Takeda, Paula Lago, Tsuyoshi Okita 0003, Sozo Inoue. 835-842 [doi]
• PDR with head swing detection only using hearable deviceKoki Tamura, Hiroto Asai, Nobuhiko Nishio. 843-848 [doi]
• Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019Lin Wang 0009, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Tsuyoshi Okita 0003, Daniel Roggen. 849-856 [doi]
• Ensemble-based domain adaptation for transport mode recognition with mobile sensorsPeter Widhalm, Maximilian Leodolter, Norbert Brändle. 857-861 [doi]
• Sampling rate dependency in pedestrian walking speed estimation using DualCNN-LSTMTakuto Yoshida, Junto Nozaki, Kenta Urano, Kei Hiroi, Katsuhiko Kaji, Takuro Yonezawa, Nobuo Kawaguchi. 862-868 [doi]
• Application of IndRNN for human activity recognition: the Sussex-Huawei locomotion-transportation challengeLongfei Zheng, Shuai Li 0005, Ce Zhu, Yanbo Gao. 869-872 [doi]
• Applying 1D sensor DenseNet to Sussex-Huawei locomotion-transportation recognition challengeYida Zhu, Fang Zhao 0003, Runze Chen. 873-877 [doi]
• LDC '19: international workshop on longitudinal data collection in human subject studiesVlad Manea, Allan Berrocal, Alexandre De Masi, Naja Holten Møller, Katarzyna Wac, Hannah Bayer, Sune Lehmann, Euan Ashley. 878-881 [doi]
• Cohort analyses of in-person interactions in temporally evolving student social groupsRahul Majethia, Gurleen Kaur, Vadlamudi Pratiksha Sharma. 882-887 [doi]
• Capturing contextual morality: applying game theory on smartphonesNiels van Berkel, Simo Hosio, Benjamin Tag, Jorge Gonçalves 0001. 888-892 [doi]
• Challenges and lessons learned from implementing longitudinal studies for self-care technology assessmentAna Vasconcelos, Inês Lopes, Jorge Ribeiro, Ana Correia de Barros. 893-898 [doi]
• th international workshop on mental health and well-being: sensing and interventionAkane Sano, Saeed Abdullah, Jakob E. Bardram, Sandra Servia, Elizabeth L. Murnane, Tanzeem Choudhury, Mirco Musolesi, Giovanna Nunes Vilaza, Varun Mishra. 899-901 [doi]
• VADLite: an open-source lightweight system for real-time voice activity detection on smartwatchesGeorge Boateng, Prabhakaran Santhanam, Janina Lüscher, Urte Scholz, Tobias Kowatsch. 902-906 [doi]
• Temporal factors of listening to music on stress reductionGrace Chen, Varun Mishra, Ching-Hua Chen. 907-914 [doi]
• Technical challenges to deliver sensor-based psychological interventions using smartphonesAlberto González-Pérez, Ignacio Miralles, Carlos Granell, Sven Casteleyn. 915-920 [doi]
• Automated inference of cognitive performance by fusing multimodal information acquired by smartphoneTakashi Hamatani, Keiichi Ochiai, Akiya Inagaki, Naoki Yamamoto, Yusuke Fukazawa, Masatoshi Kimoto, Kazuki Kiriu, Kouhei Kaminishi, Jun Ota, Yuri Terasawa, Tsukasa Okimura, Takaki Maeda. 921-928 [doi]
• "Hear me out": smart speaker based conversational agent to monitor symptoms in mental healthRaju Maharjan, Per Bækgaard, Jakob E. Bardram. 929-933 [doi]
• Improving heart rate variability measurements from consumer smartwatches with machine learningMartin Maritsch, Caterina Bérubé, Mathias Kraus, Vera Lehmann, Thomas Züger, Stefan Feuerriegel, Tobias Kowatsch, Felix Wortmann. 934-938 [doi]
• PDkit: an open source data science toolkit for Parkinson's diseaseJoan Saez-Pons, Cosmin Stamate, David Weston, George Roussos. 939-943 [doi]
• Challenges in supporting social practices around personal data for long-term mental health managementLucy Van Kleunen, Stephen Voida. 944-948 [doi]
• Wearable robot for mental health intervention: a pilot study on EEG brain activities in response to human and robot affective touchKer-Jiun Wang, Caroline Yan Zheng. 949-953 [doi]
• PURBA 2019: the 8th workshop on pervasive urban applicationsSanti Phithakkitnukoon, Teerayut Horanont, Sourav Bhattacharya, Yoshihide Sekimoto. 954-956 [doi]
• An IoT and blockchain-based approach for ensuring transparency and accountability in regulatory complianceNiaz Chowdhury. 957-962 [doi]
• A vision-based deep on-device intelligent bus stop recognition systemGautham Krishna Gudur, Ateendra Ramesh, Srinivasan R. 963-968 [doi]
• Designing interactive interfaces by keeping the natural beauty of public placesLinda Hirsch. 969-972 [doi]
• iCoff: towards building an intelligent coffee plate system to enhance coffee shop's customer experienceThanakrit Jitapinyakul, Panuwat Phunsuk, Santi Phithakkitnukoon. 973-981 [doi]
• How to get in touch with the passenger: context-aware choices of output modality in smart public transportChristine Keller, Thomas Schlegel. 982-990 [doi]
• Inferring the character of urban commercial areas from age-biased online search results: how place recommendation data can reveal dynamic seoul neighborhoodsDavid Lee, Seolha Lee. 991-995 [doi]
• Detecting abnormal behavior in the transportation planning using long short term memories and a contextualized dynamic thresholdThananut Phiboonbanakit, Van-Nam Huynh, Teerayut Horanont, Thepchai Supnithi. 996-1007 [doi]
• Deep learning models for population flow generation from aggregated mobility dataCan Rong, Jie Feng, Yong Li. 1008-1013 [doi]
• Safe street rangers: crowdsourcing approach for monitoring and reporting street safetyPanurat Sutigoolabud, Peerawit Naprae, Santi Phithakkitnukoon. 1014-1021 [doi]
• Seamless internet connectivity for ubiquitous communicationRyo Yanagida, Saleem N. Bhatti. 1022-1033 [doi]
• Wearables for health: developing designs for functional practicalityMartha L. Hall, Catherine Harty, Heidi Knutsen, Jaeah Yoo. 1034-1036 [doi]
• How to shape the future of smart clothingKaspar M. B. Jansen. 1037-1039 [doi]
• Assistive wearables: opportunities and challengesVivian Genaro Motti. 1040-1043 [doi]
• Challenges and opportunities of textile based smart sanitary napkin designManideepa Mukherjee. 1044-1046 [doi]
• Using smart clothing to improve movementMarc Tompkins. 1047-1049 [doi]
• Stress reduction in everyday wearables: balancedBrigitte van der Lugt, Loe M. G. Feijs. 1050-1053 [doi]
• UbiTtention 2019: 4th international workshop on smart & ambient notification and attention managementAnja Exler, Alexandra Voit, Dominik Weber, Martin Pielot, Nitesh Goyal, Sven Gehring, Tadashi Okoshi, Veljko Pejovic. 1054-1057 [doi]
• The impact of private and work-related smartphone usage on interruptibilityChristoph Anderson, Judith S. Heinisch, Sandra Ohly, Klaus David, Veljko Pejovic. 1058-1063 [doi]
• Preferred notification modalities depending on the location and the location-based activityAnja Exler, Zeynep Günes, Michael Beigl. 1064-1069 [doi]
• Connecting IM pattern and selective perceived responsiveness to relationship: a cluster-based approachHao-Ping Lee, Kuan-yin Chen, Chih-Heng Lin, Yung-Ju Chang. 1070-1074 [doi]
• Using electrochromic displays to display ambient information and notificationsHeiko Müller 0002, Ashley Colley, Jonna Häkkilä, Walther Jensen, Markus Löchtefeld. 1075-1078 [doi]
• Attention computing: overview of mobile sensing applied to measuring attentionAku Visuri, Niels van Berkel. 1079-1082 [doi]
• The uncomfortable workshop: exploring discomfort design for wellbeing and sustainabilitym. c. schraefel, Scott Bateman, Adrian Friday, Josh Andres. 1083-1086 [doi]
• Designing to support uncomfortable breathing exercises: ethical considerationsAaron Tabor, Connor Wilson, Scott Bateman. 1087-1089 [doi]
• Are you sitting uncomfortably?: a tale of comfort, energy and productivityAdam Tyler, Kathy New, Adrian Friday. 1090-1092 [doi]
• Experiencing discomfort: designing for affect from first-person perspectiveMuhammad Umair, Miquel Alfaras, Hugo Gamboa, Corina Sas. 1093-1096 [doi]
• Diversifying pro-environmental behaviors: redesigning applications to incorporate environmental "spill-over"Connor Wilson, Aaron Tabor, Scott Bateman. 1097-1098 [doi]
• UPA'19: 4th international workshop on ubiquitous personal assistanceAlejandro Sánchez Guinea, Alexander Seeliger, Veljko Pejovic, Usman Naeem, Philipp M. Scholl, Cristina Mihale-Wilson, Elena Di Lascio, Muhammad Awais Azam, Pei-Yi (Patricia) Kuo, Max Mühlhäuser, Christian Meurisch. 1099-1101 [doi]
• The city as a personal assistantUtku Günay Acer, Marc Van den Broeck, Fahim Kawsar. 1102-1106 [doi]
• What causes the adoption failure of service robots?: a case of Henn-na hotel in japanRaden Agoeng Bhimasta, Pei-Yi Kuo. 1107-1112 [doi]
• mobEYEle: an embedded eye tracking platform for industrial assistanceFlorian Jungwirth, Michaela Murauer, Johannes Selymes, Michael Haslgrübler, Benedikt Gollan, Alois Ferscha. 1113-1119 [doi]
• "K.I.T.T., where are you?": why smart assistance systems in cars enrich people's livesKatharina Keller, Kim Valerie Carl, Hendrik Jöntgen, Benjamin M. Abdel-Karim, Max Mühlhäuser, Oliver Hinz. 1120-1132 [doi]
• User preferences regarding smart assistant for private- and work-related availability: design science researchZofia Saternus. 1133-1138 [doi]
• EPARS: elderly physical activity reminder system using smartphone and wearable sensorsLarissa Cardoso Zimmermann, Kamila Rios da Hora Rodrigues, Maria da Graça Campos Pimentel. 1139-1145 [doi]
• WellComp 2019: second international workshop on computing for well-beingTadashi Okoshi, Jin Nakazawa, JeongGil Ko, Fahim Kawsar, Susanna Pirttikangas. 1146-1149 [doi]
• A weiner filter based robust algorithm for estimation of heart rate from wrist based photoplethysmogramNasimuddin Ahmed, Varsha Sharma, Arijit Chowdhury, Shalini Mukhopadhyay, Avik Ghose. 1150-1153 [doi]
• Mobile computing and well-being in the outdoorsZann Anderson, Michael D. Jones. 1154-1157 [doi]
• Towards early detection of depression through smartphone sensingKennedy Opoku Asare, Aku Visuri, Denzil S. T. Ferriera. 1158-1161 [doi]
• Design and formative evaluation of cognitive assessment apps for wearable technologiesPegah Hafiz, Jakob E. Bardram. 1162-1165 [doi]
• Towards measuring well-being in smart environmentsEija Halkola, Lauri Lovén, Marta Cortés, Ekaterina Gilman, Susanna Pirttikangas. 1166-1169 [doi]
• Understanding drivers wellbeing: quantitative study analysis and wearable experimentRahat Jahangir Rony, Nova Ahmed. 1170-1173 [doi]
• SleepThermo: the affect of in-cloth monitored body temperature change during sleep on human well-beingKento Katsumata, Yuka Noda, Naohiro Isokawa, Shin Katayama, Tadashi Okoshi, Jin Nakazawa. 1174-1177 [doi]
• Following the heart: what does variation of resting heart rate tell about us as individuals and as a populationHeli Koskimäki, Hannu Kinnunen, Salla Rönkä, Benjamin L. Smarr. 1178-1181 [doi]
• Measuring Parkinson's disease motor symptoms with smartphone-based drawing tasksElina Kuosmanen, Valerii Kan, Aku Visuri, Assam Boudjelthia, Lokmane Krizou, Denzil Ferreira. 1182-1185 [doi]
• Prediction of sleep efficiency from big physical exercise dataXiaoli Liu, Satu Tamminen, Topi Korhonen, Juha Röning, Jukka Riekki. 1186-1189 [doi]
• Effect of using smartphone during breast-feedingHaruka Nakagawa, Sachine Yoshida, Ayumi Ohnishi, Tsutomu Terada, Hiromasa Funato, Masahiko Tsukamoto. 1190-1193 [doi]
• Mobile nutrition monitoring for well-beingNina Resçiç, Eva Valencic, Enej Mlinaric, Barbara Korousic-Seljak, Mitja Lustrek. 1194-1197 [doi]
• Continuous stress detection using the sensors of commercial smartwatchPekka Siirtola. 1198-1201 [doi]
• CaLmi: stress management in intelligent homesEirini Sykianaki, Asterios Leonidis, Margherita Antona, Constantine Stephanidis. 1202-1205 [doi]
• Harnessing digital phenotyping to deliver real-time interventional bio-feedbackKieran Woodward, Eiman Kanjo, Muhammad Umair, Corina Sas. 1206-1209 [doi]
• Visualizing health with emotion polarity history using voiceYui Yamashita, Masaru Onodera, Koichi Shimoda, Yoshito Tobe. 1210-1213 [doi]
• Activity prediction for improving well-being of both the elderly and caregiversYuting Zhan, Hamed Haddadi. 1214-1217 [doi]