Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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The Edge Computing System for the Detection of Water Usage Activities with Sound Classification

음향 기반 물 사용 활동 감지용 엣지 컴퓨팅 시스템

  • Seung-Ho Hyun (School of Electrical Engineering, University of Ulsan) ;
  • Youngjoon Chee (School of Electrical Engineering, University of Ulsan)
  • 현승호 (울산대학교 공과대학 전기공학부) ;
  • 지영준 (울산대학교 공과대학 전기공학부)
  • Received : 2023.02.07
  • Accepted : 2023.04.23
  • Published : 2023.04.30
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Abstract

Efforts to employ smart home sensors to monitor the indoor activities of elderly single residents have been made to assess the feasibility of a safe and healthy lifestyle. However, the bathroom remains an area of blind spot. In this study, we have developed and evaluated a new edge computer device that can automatically detect water usage activities in the bathroom and record the activity log on a cloud server. Three kinds of sound as flushing, showering, and washing using wash basin generated during water usage were recorded and cut into 1-second scenes. These sound clips were then converted into a 2-dimensional image using MEL-spectrogram. Sound data augmentation techniques were adopted to obtain better learning effect from smaller number of data sets. These techniques, some of which are applied in time domain and others in frequency domain, increased the number of training data set by 30 times. A deep learning model, called CRNN, combining Convolutional Neural Network and Recurrent Neural Network was employed. The edge device was implemented using Raspberry Pi 4 and was equipped with a condenser microphone and amplifier to run the pre-trained model in real-time. The detected activities were recorded as text-based activity logs on a Firebase server. Performance was evaluated in two bathrooms for the three water usage activities, resulting in an accuracy of 96.1% and 88.2%, and F1 Score of 96.1% and 87.8%, respectively. Most of the classification errors were observed in the water sound from washing. In conclusion, this system demonstrates the potential for use in recording the activities as a lifelog of elderly single residents to a cloud server over the long-term.

Keywords

Acknowledgement

본 연구는 산업통상자원부와 한국산업기술진흥원의 "국제공동기술개발사업"의 지원을 받아 수행된 연구결과임(과제번호: P088100009).

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