Real-Time Cleaning Activity Support System using Accelerometer and Audio Feedback

被引：0

作者：

Yaegashi, Ryo ^{[1
]}

Mikuriya, Masayuki ^{[2
]}

Ogino, Fumitoshi ^{[2
]}

Nakayama, Yu ^{[1
]}

机构：

[1] Tokyo Univ Agr & Technol, Dept Comp & Informat Sci, Tokyo, Japan

[2] Duskin Co Ltd, Osaka, Japan

来源：

2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC | 2023年

关键词：

Activity recognition; Machine learning; Accelerometer sensor; Monitoring;

D O I：

10.1109/CCNC51644.2023.10059713

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Effective monitoring and support of cleaning activities is one of the significant challenges in maintaining a clean and healthy environment for infection prevention. Therefore, in this study, we focus on cleaning activities to propose a real-time activity support system. Users' activities are recognized with a machine learning technology based on accelerometer data acquired with mop-mounted sensors. We developed a real-time support system where a robot provides audio feedback for motivating the user. It was confirmed that the proposed system will contribute for maintaining clean environment by encouraging users to establish a lifestyle in the new normal era.

引用

页数：2

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