AIoT for aging in place: from theory to practice
The rapidly aging global population necessitates solutions to support the growing preference among seniors to age in place. This thesis presents a novel integration of the Person-Environment (P-E) Fit theory with Artificial Intelligence of Things (AIoT) to guide aging in place (AIP) system design, f...
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格式: | Thesis-Doctor of Philosophy |
語言: | English |
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Nanyang Technological University
2024
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在線閱讀: | https://hdl.handle.net/10356/175547 |
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機構: | Nanyang Technological University |
語言: | English |