TCS-Fall

Citation Author(s):
Ziyu
Zhou
Submitted by:
ziyu zhou
Last updated:
Sun, 05/28/2023 - 10:16
DOI:
10.21227/byvd-0b10
Data Format:
*.dat(zip)
License:
Creative Commons Attribution
230 Views
Categories:
Wireless Networking
Signal Processing
IoT
Biomedical and Health Sciences
Keywords:
fall detection
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Abstract 

This is a dataset for TCS-Fall.
A total of 20 volunteers were invited to take part in the experiment. Each volunteer performed hundreds of falls and non-falls.
All fall data and non-fall data are stored in binary files that can be parsed by Python or matlab.
Falls are the leading cause of fatal and nonfatal injuries among older adults, especially those living alone. Society faces significant healthcare issues caused by an aging population. Effective and prompt fall detection strategies may profoundly benefit society. Effective and prompt fall detection strategies may profoundly benefit society. Quick and timely detection of these falls is crucial to providing urgent assistance.

Instructions: 

This is a dataset for TCS-Fall.

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