Subject
Creator
- Ahmed Khaled Soliman 1
- Andres Torres 1
- Chang Heon Lee 1
- Guilherme A. Ribeiro 1
- Jae Hong Park, 0000-0003-0772-0433 1
- Jiqin Ni, 0000-0002-0735-5678 1
- Kathleen M Ivester, 0000-0002-7873-0375 1
- Laurent L. Couëtil 1
- Li-fan Wu 1
- Lynn Willems 1
Type
- Dataset 2
Date
subject: Wearable Device type: dataset
Total is 2 Results
Gait phase estimation using wearable sensors and PCA based linear regression model
10.4231/Q0HY-AT09
Ahmed Khaled Soliman
,
Andres Torres
,
Chang Heon Lee
,
Guilherme A. Ribeiro
,
Li-fan Wu
,
Mo Rastgaar
05/16/2022
Estimating gait realtime through 2 wearable sensors and a PCA based linear regression model.
Acceleration Biomedical Engineering Machine Learning Mechanical Engineering PCA Robotics Stepwise Multiple linear Regression Wearable Device
A wearable real-time particulate monitor demonstrates that soaking hay reduces dust exposure
10.4231/MX1S-8K16
Jae Hong Park
,
Jiqin Ni
,
Kathleen M Ivester
,
Laurent L. Couëtil
,
Lynn Willems
,
Marcus Tatum
,
Thomas M. Peters
11/07/2024
These data were collected to calibrate a purpose-built, real-time, wearable particulate monitor for use on horses and to demonstrate the utility of the monitor by comparing exposures when horses were fed dry or soaked hay.
equine hay horse particulate air quality PM10 PM2.5 Real Time Wearable Device
Display #
Results 1 - 2 of 2