Work

Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach

Year: 2019

Type: article

Source: IEEE Transactions on Human-Machine Systems

DOI: 10.1109/thms.2018.2884811

Authors: Rahil Mehrizi, Xi Peng, Dimitris N. Metaxas, Xu Xu, Shaoting Zhang, Kang Li

Institutions: Rutgers, The State University of New Jersey, Binghamton University, North Carolina State University, University of North Carolina at Charlotte, Rutgers New Jersey Medical School

Language: English

Topic: Ergonomics and Musculoskeletal Disorders

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Science Foundation, Liberty Mutual Research Institute for Safety

Awards: CHS: Medium: Data Driven Biomechanically Accurate Modeling of Human Gait on Unconstrained Terrain, EAGER: Multi-modal human gait experimentation and analysis on unconstrained terrains, EAGER: Development of Model-Based Active Chair for Proactive Injury Prevention, Cooperative Adaptation and Shaping of Human Motor Control through Unstable Physical Human-Robot Interactions

OpenAlex ID: W2907268465

FWCI: 8.482

Cites: 43

Cited by: 55

Related to: 10