Elderly fall-risk prediction study from Inertial Sensor Time Series Data using Deep Learning Algorithms
碩士 === 元智大學 === 工業工程與管理學系 === 106 === Human fall risk prediction is a difficult task to accomplish. There has been numerous research done related to this problem attempting to predict a patient’s possible fall risk by manually extracting features from accelerometer sensor data. With the knowledge th...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/r426sz |