Devender Singh
University of Cincinnati
10 Papers
96 Citations
Devender Singh is an academic researcher from University of Cincinnati. The author has contributed to research in topics: Motion estimation & Degrees of freedom. The author has an hindex of 6, co-authored 10 publications.
Chat about Author
Papers
Research to practice: Effectiveness of controlled workplace interventions to reduce musculoskeletal disorders in the manufacturing environment—critical appraisal and meta-analysis
Setenay Tuncel,Ash Genaidy,Richard Shell,Sam Salem,Waldemar Karwowski,Mariam M. Darwish,Frank Noel,Devender Singh +7 more
TL;DR: The results suggested that practitioners should consider scientific evidence during design and implementation of an intervention, especially in terms of study duration, confounders, outcome measures, and data analysis.
87
Obesity effect on perceived postural stress during static posture maintenance tasks.
TL;DR: The study findings suggest that ergonomic workplace/job design for obese workers would be a challenge requiring a proactive approach and creativity in problem solving, and the use of ergonomic knowledge in design would be more critical when targeting obese than non-obese workers.
46
A memory-based model for planning target reach postures in the presence of obstructions.
TL;DR: A novel memory-based posture planning (MBPP) model, which plans reach postures that avoid obstructions, is presented, which is capable of rapidly and robustly planning reach posture for various scenarios.
16
A quantitative method for representing balance strategies of goal-directed human motions
TL;DR: The BSV index facilitates easy and intuitive understanding of balance strategies of various human motions and can assist scientific investigations on human balance strategies.
7
Identifying alternative movement techniques from existing motion data : An empirical performance evaluation
Woojin Park,Devender Singh +1 more
TL;DR: A method for identifying movement techniques from existing motion data was developed based on a JCV (Joint Contribution Vector) index and statistical clustering, which was found to be able to identify the two distinct lifting techniques from the lifting motion dataset.
6