Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
32nd (2018)
Session ID : 2D1-04
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An action recognition system using a highly abstracted infrared array sensor
*Shogo MURAKAMIIkuko Eguchi YAIRI
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

According to the population growth of the aged people, the needs of action recognition system for elderly care are increasing. Upcoming IoT era, the privacy issues of the vision based human action recognition is still primary concerns. With due consideration of the privacy protection of users, we have been proposing a system using an infrared array sensor with high abstraction and low resolution. This paper reports the developed simulator to reproduce the behavior of the human, the data collection under various situations using infrared sensor and the simulator, and classification results whose accuracy was more than 90% using machine learning.

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© 2018 The Japanese Society for Artificial Intelligence
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