The following publications are possibly variants of this publication:
- Multiple Pedestrian Tracking through Ambient Structural Vibration Sensing: Poster AbstractShijia Pan, Kent Lyons, Mostafa Mirshekari, Hae Young Noh, Pei Zhang. sensys 2016: 366-367 [doi]
- Indoor Person Identification through Footstep Induced Structural VibrationShijia Pan, Ningning Wang, Yuqiu Qian, Irem Velibeyoglu, Hae Young Noh, Pei Zhang. wmcsa 2015: 81-86 [doi]
- Area Occupancy Counting Through Sparse Structural Vibration SensingShijia Pan, Mostafa Mirshekari, Jonathon Fagert, Carlos Ruiz, Hae Young Noh, Pei Zhang 0001. pervasive, 18(1):28-37, 2019. [doi]
- Step-level person localization through sparse sensing of structural vibrationMostafa Mirshekari, Shijia Pan, Adeola Bannis, Yan Pui Mike Lam, Pei Zhang, Hae Young Noh. ipsn 2015: 376-377 [doi]
- OAC: Overlapping Office Activity Classification through IoT-Sensed Structural VibrationAmelie Bonde, Shijia Pan, Mostafa Mirshekari, Carlos Ruiz Dominguez, Hae Young Noh, Pei Zhang 0001. iotdi 2020: 216-222 [doi]
- Deep Domain Generalization-Based Indoor Pedestrian Identification Using Footstep-Induced VibrationsXuebing Xu, Ruipeng Deng, Gerui Zhao, Bo Zhang, Cheng Liu 0004. tim, 73:1-8, 2024. [doi]
- WhereWear: Calibration-free Wearable Device Identification through Ambient SensingCarlos Ruiz, Shijia Pan, Hae Young Noh, Pei Zhang 0001. mobisys 2019: 29-34 [doi]
- CMA: Cross-Modal Association Between Wearable and Structural Vibration Signal Segments for Indoor Occupant SensingYue Zhang, Zhizhang Hu, Uri Berger, Shijia Pan. ipsn 2023: 96-109 [doi]
- Re-vibe: vibration-based indoor person re-identification through cross-structure optimal transportYiwen Dong 0001, Jiacheng Zhu, Hae Young Noh. sensys 2022: 348-352 [doi]
- Fine-Grained Recognition of Activities of Daily Living through Structural Vibration and Electrical SensingShijia Pan, Mario Berges, Juleen Rodakowski, Pei Zhang 0001, Hae Young Noh. sensys 2019: 149-158 [doi]
- An improved indoor pedestrian dead reckoning algorithm using ambient light and sensorsXiaoxiao Tao, Tianqi Shi, Xin Ma 0007, Haowei Zhang, Zhipeng Pei. mta, 81(22):32581-32592, 2022. [doi]