A Smartphone-Based Gait Data Collection System for the Prediction of Falls in Elderly Adults
ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV === Falls prevention efforts for older adults have become increasingly important and are now a...
Main Authors: | Martinez, Matthew, De Leon, Phillip L. |
---|---|
Other Authors: | New Mexico State University |
Language: | en_US |
Published: |
International Foundation for Telemetering
2015
|
Subjects: | |
Online Access: | http://hdl.handle.net/10150/596377 http://arizona.openrepository.com/arizona/handle/10150/596377 |
Similar Items
-
Unsupervised Segmentation and Labeling for Smartphone Acquired Gait Data
by: Martinez, Matthew, et al.
Published: (2016) -
Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls
by: Luca Palmerini, et al.
Published: (2020-11-01) -
Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning
by: Barry R. Greene, et al.
Published: (2021-07-01) -
Effect of smartphone location and walking speed on spatiotemporal gait parameters in older adults
by: Kunlanan Teja, et al.
Published: (2017-09-01) -
Willingness to use mobile technologies for data collection in a probability household panel
by: Alexander Wenz, et al.
Published: (2019-04-01)