A review on human motion prediction in sit to stand and lifting tasks

Erik A. Chumacero-Polanco, James Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Human-like motion prediction and simulation is an important task with many applications in fields such as occupational-biomechanics, ergonomics in industrial engineering, study of biomechanical systems, prevention of musculoskeletal disorders, computer-graphics animation of articulated figures, prosthesis and exoskeletons design as well as design and control of humanoid robots, among others. In an effort to get biomechanical insight in many human movements, extensive work has been conducted over the last decades on human-motion prediction of tasks as: walking, running, jumping, standing from a chair, reaching and lifting. This literature review is focused on the STS motion and the LLM. STS is defined as the process of rising from a chair to standing up position without losing stability balance, it is the most ubiquitous and torque-demanding daily labor and it is closely related to other capabilities of the human body. LLM is defined as the activity of raising a load, generally a box, from a low to a higher position while stability is maintained, this task produces a high number of incidences of low-back pain and injuries in many industrial and domestic activities. In order to predict STS and LLM, two methods have been identified: these are the OBMG method and the CBMG method.

Original languageEnglish
Title of host publication36th Computers and Information in Engineering Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791850077
DOIs
StatePublished - Jan 1 2016
EventASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2016 - Charlotte, United States
Duration: Aug 21 2016Aug 24 2016

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume1A-2016

Conference

ConferenceASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2016
CountryUnited States
CityCharlotte
Period08/21/1608/24/16

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Keywords

  • Human motion prediction
  • Optimization
  • Predictive dynamics
  • Sit to stand and lifting motions
  • Skeletal models

Cite this

Chumacero-Polanco, E. A., & Yang, J. (2016). A review on human motion prediction in sit to stand and lifting tasks. In 36th Computers and Information in Engineering Conference (Proceedings of the ASME Design Engineering Technical Conference; Vol. 1A-2016). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2016-59891