User identification method in a bathtub with a water pressure sensor
| Autor: | Sarina Nakayama, Masahiro Mochizuki, Kazuya Murao, Nobuhiko Nishio |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Signal processing
Bathing Bathtub Computer science GRASP Real-time computing 02 engineering and technology 030204 cardiovascular system & hematology Water pressure Water level 03 medical and health sciences Identification (information) 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering Waveform 020201 artificial intelligence & image processing |
| Zdroj: | MoMM |
| DOI: | 10.1145/3282353.3282360 |
| Popis: | Along with the downsizing of computers and sensors, user situation and state can be recognized by sensing, signal processing, and machine learning technologies in many places. In home environments, it is reported that the number of drowned people in a bathtub has increased to 4,886 in 2004, which is 1.7 times from 2004. In order to prevent the occurrence of such a fatal accident, it is important to grasp the state of people while bathing. In this study, we propose a method to identify people in the bathtub from changes in water level during bathing with a water pressure sensor installed at the bottom of the bathtub. In the evaluation experiments, the average identification accuracy for four subjects is as low as 65% in the comparison method using only the change in the water level before and after entering the bathtub. The proposed methods uses DTW distance of the waveform of entering water section and exiting water section and its average accuracy achieved 95%. |
| Databáze: | OpenAIRE |
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