Software to Support Layout and Data Collection for Machine-Learning-Based Real-World Sensors

Ayane Saito, Wataru Kawai, Yuta Sugiura

研究成果: Conference contribution

抄録

There have been many studies of gesture recognition and posture estimation by combining real-world sensor and machine learning. In such situations, it is important to consider the sensor layout because the measurement result varies depending on the layout and the number of sensors as well as the motion to be measured. However, it takes time and effort to prototype devices multiple times in order to find a sensor layout that has high identification accuracy. Also, although it is necessary to acquire learning data for recognizing gestures, it takes time to get the data when the user changes the sensor layout. In this study, we developed software that can arrange real-world sensors. In this time, the software can handle distance-measuring sensors as real-world sensors. The user places these sensors freely in the software. The software measures the distance between the sensors and a mesh created from measurements of real-world deformation recorded by a Kinect. The classifier is generated using the time-series of distance data recorded by the software. In addition, we created a physical device that had the same sensor layout as the one designed with the software. We experimentally confirmed that the software could recognize the gestures on the physical device by using the generated classifier.

本文言語English
ホスト出版物のタイトルHCI International 2019 - Posters - 21st International Conference, HCII 2019, Proceedings
編集者Constantine Stephanidis
出版社Springer Verlag
ページ198-205
ページ数8
ISBN(印刷版)9783030235277
DOI
出版ステータスPublished - 2019
イベント21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
継続期間: 2019 7 262019 7 31

出版物シリーズ

名前Communications in Computer and Information Science
1033
ISSN(印刷版)1865-0929
ISSN(電子版)1865-0937

Conference

Conference21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period19/7/2619/7/31

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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