First Experimental Results on Real-Time Cleaning Activity Monitoring System

The COVID-19 pandemic has presented social challenges to establish the new normal lifestyle in our daily lives. The goal of this paper is to enable easy and low-cost monitoring of cleaning activity to keep a clean environment for preventing infection. Although human activity recognition has been a h...

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Bibliographic Details
Main Authors: Yaegashi, Ryo, Nakayama, Yu, Matsuki, Moe, Yasunaga, Ryoma, Katsurai, Marie
Format: Conference Proceeding
Language:English
Subjects:
Accelerometers
Activity recognition
Cleaning
COVID-19
Machine learning
Pandemics
RFID tags
Wearable sensors
Wireless communication
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Summary:The COVID-19 pandemic has presented social challenges to establish the new normal lifestyle in our daily lives. The goal of this paper is to enable easy and low-cost monitoring of cleaning activity to keep a clean environment for preventing infection. Although human activity recognition has been a hot research topic in pervasive computing, existing schemes have not been optimized for monitoring cleaning activities. To address this issue, this paper provides an initial concept and preliminary experimental results of cleaning activity recognition using accelerometer data and RFID tags. In the proposed scheme, machine learning technologies and short range wireless communication are employed for recognizing the time and place of wiping as an example of cleaning activities, because it is an important activity for shared places to avoid infection. This paper reports the evaluation results on the recognition accuracy using the proof-of-concept (PoC) implementation to clarify the required sampling rate and time-window size for further experiments. Also, a real-time feedback system is implemented to provide the monitoring results for users. The proposed scheme contributes for efficient monitoring of cleaning activities for creating the new normal era.
ISSN:2331-9860
DOI:10.1109/CCNC49033.2022.9700613