HUMAN ACTIVITY RECOGNITION USING WEARABLE DEVICES AND DEEP LEARNING
Human Activity Recognition (HAR) based on motion sensors, data such as accelerometer, gyroscope, and magnetometer sensors from wearable devices, gives benefits in the healthcare sector, particularly in patient monitoring in indoor environments. This research aims to develop an optimal algorithm f...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/86059 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |