Hiromitsu Nishimura - researchr alias

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Viewing Publication 1 - 21 from 21

2025

Development and Evaluation of a Review Tool for Beginners in Learning Sign LanguageHiroshi Tanaka, Hiromu Kawaguchi, Kaisei Kameda, Takehiro Kurosawa, Kazuya Sasajima, Eiji Ota, Yuusuke Kawakita, Masaaki Kawana, Hiromitsu Nishimura. hci 2025: 289-302 [doi]

2021

Investigation of Sign Language Motion Classification by Feature Extraction Using Keypoints Position of OpenPoseTsukasa Wakao, Yuusuke Kawakita, Hiromitsu Nishimura, Hiroshi Tanaka. hci 2021: 386-399 [doi]

2020

Experimental Study on Improvement of Sign Language Motion Classification Performance Using Pre-trained Network ModelsKaito Kawaguchi, Zhizhong Wang, Tomoki Kuniwa, Paporn Daraseneeyakul, Phaphimon Veerakiatikit, Eiji Ohta, Hiromitsu Nishimura, Hiroshi Tanaka. hci 2020: 433-446 [doi]

2019

Basic investigation of sign language motion classification by feature extraction using pre-trained network modelsKaito Kawaguchi, Hiromitsu Nishimura, Zhizhong Wang, Hiroshi Tanaka, Eiji Ohta. pacrim 2019: 1-4 [doi]

2018

Investigation of Sign Language Recognition Performance by Integration of Multiple Feature Elements and ClassifiersTatsunori Ozawa, Yuna Okayasu, Maitai Dahlan, Hiromitsu Nishimura, Hiroshi Tanaka. hci 2018: 291-305 [doi]

Feasibility Study on Deep Learning Scheme for Sign Language Motion RecognitionKazuki Sakamoto, Eiji Ota, Tatsunori Ozawa, Hiromitsu Nishimura, Hiroshi Tanaka. cisis 2019: 1106-1115 [doi]

2017

Performance enhancement by combining visual clues to identify sign language motionsYuna Okayasu, Tatsunori Ozawa, Maitai Dahlan, Hiromitsu Nishimura, Hiroshi Tanaka. pacrim 2017: 1-4 [doi]

Investigation of Feature Elements and Performance Improvement for Sign Language Recognition by Hidden Markov ModelTatsunori Ozawa, Hirotoshi Shibata, Hiromitsu Nishimura, Hiroshi Tanaka. hci 2017: 76-88 [doi]

2016

2014

Proposal of a User Authentication Method Using Near-Infrared Card ImagesHiromitsu Nishimura. hci 2014: 528-532 [doi]

Enhancement of Accuracy of Hand Shape Recognition Using Color Calibration by Clustering Scheme and Majority Voting MethodTakahiro Sugaya, Hiromitsu Nishimura, Hiroshi Tanaka. hci 2014: 251-260 [doi]

2013

Basic Investigation into Hand Shape Recognition Using Colored Gloves Taking Account of the Peripheral EnvironmentTakahiro Sugaya, Takayuki Suzuki, Hiromitsu Nishimura, Hiroshi Tanaka. hci 2013: 133-142 [doi]

2008

An Expansion Method for Off-Line Hand-Printed Character Recognition Using On-line Character Writing FeaturesHiromitsu Nishimura, Kazuhisa Yanaka. das 2008: 354-361 [doi]

2003

Off-line Character Recognition using On-line Character Writing InformationHiromitsu Nishimura, Takehiko Timikawa. icdar 2003: 168-172 [doi]

2001

Off-line Hand-written Character Recognition Using Integrated 1D HMMs Based on Feature Extraction FiltersHiromitsu Nishimura, Masayoshi Tsutsumi, Minoru Maruyama, Hidetoshi Miyao, Yasuaki Nakano. icdar 2001: 417 [doi]

1999

A Recognition Method for Touching Japanese Handwritten CharactersHisashi Ikeda, Yukio Ogawa, Masashi Koga, Hiromitsu Nishimura, Hiroshi Sako, Hiromichi Fujisawa. icdar 1999: 641-644 [doi]

Off-line Character Recognition using HMM by Multiple Directional Feature Extraction and Voting with Bagging AlgorithmHiromitsu Nishimura, Makoto Kobayashi, Minoru Maruyama, Yasuaki Nakano. icdar 1999: 49-52 [doi]

1998

A Segmentation Method for Touching Handwritten Japanese CharactersHiromitsu Nishimura, Hisashi Ikeda, Yasuaki Nakano. das 1999: 130-139

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