Human activities recognition in smart living environment
In recent times, smartphones, outfitted with advanced sensors including gyroscopes and accelerometers, have become adept at capturing the nuanced movements of users from various perspectives. This wealth of data paves the way for Human Activity Recognition (HAR) within smart living environments, off...
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Main Author: | Yao, Hengji |
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Other Authors: | Soh Yeng Chai |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/176894 |
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Institution: | Nanyang Technological University |
Language: | English |
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