Development of a user-adaptable human fall detection based on fall risk levels using depth sensor
Unintentional falls are a major public health concern for many communities, especially with aging populations. There are various approaches used to classify human activities for fall detection. Related studies have employed wearable, non-invasive sensors, video cameras and depth sensor-based approac...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
MDPI
2018
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2878/1/AJ%202019%20%2854%29.pdf http://eprints.uthm.edu.my/2878/ https://doi.org/10.3390/s18072260 |
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