Aging in place: fall detection and localization in a distributed smart camera network
Proceedings of the 15th international conference on Multimedia
Instant learning sound sensor: flexible real-world event recognition system for ubiquitous computing
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
Bathroom activity monitoring based on sound
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Re-identification of Smart Meter data
Personal and Ubiquitous Computing
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This paper introduces a design of life-context-aware alert system from multiple small microphone sensors at various places in home. In order to support the comfortable daily lives of elderly people who live alone, it is important to know their daily activities in home without privacy exposure. In the case of their emergency appeared from overwatching data, the system must alert the situation to the hospitals, ambulances, or their families. To reduce data for fast calculation on PIC and to protect their privacy, the system adopts simplified sound spectrogram from each installed microphone modules. The system first analyses these multiple signals to roughly understand what situation occurs, and decides what type of daily-life are found. When the user's life shows emergent situations, the system alerts to the appropriate contact person or institution. This paper especially describes how to simplify the raw data from the microphone sensor with using frequency/time domain for reducing the amount of data and for privacy protection.