TCS-Fall

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zhou, ziyu

Description

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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.4

FAIR Score

58%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

IEEE DataPort

Assigned Domain

Subfield

Physical Therapy, Sports Therapy and Rehabilitation

Field

Health Professions

Domain

Health Sciences

Confidence Score

40%

Source

Scholar Data Model

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00