7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.HC2021★ 7 cited
Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models
Yang Bai, Yu Guan, Jian Qing Shi +1
Fatigue is a broad, multifactorial concept that includes the subjective perception of reduced physical and mental energy levels. It is also one of the key factors that strongly aff…
eess.SP2020★ 1 cited
Designing Compact Features for Remote Stroke Rehabilitation Monitoring using Wearable Accelerometers
Xi Chen, Yu Guan, Jian Qing Shi +2
Stroke is known as a major global health problem, and for stroke survivors it is key to monitor the recovery levels. However, traditional stroke rehabilitation assessment methods (…
stat.AP2016
Nonlinear Mixed-effects Scalar-on-function Models and Variable Selection for Kinematic Upper Limb Movement Data
Yafeng Cheng, Jian Qing Shi, Janet Eyre
This paper arises from collaborative research the aim of which was to model clinical assessments of upper limb function after stroke using 3D kinematic data. We present a new nonli…