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Abstract
To assist in the identification of possible dangerous situations in the elderly care situation, such as a fall. This study utilizes action recognition to detect and record elder daily movement. If there is any abnormality, the detection system will send out a warning for help. The accuracy is 87.5% for the elder action recognition that developed with CNN and LSTM.
Original language | English |
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Title of host publication | 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665433280 |
DOIs | |
State | Published - 2021 |
Event | 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan Duration: 15 Sep 2021 → 17 Sep 2021 |
Publication series
Name | 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
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Conference
Conference | 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
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Country/Territory | Taiwan |
City | Penghu |
Period | 15/09/21 → 17/09/21 |
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