Optimization-based human motion prediction using an inverse-inverse dynamics technique implemented in the AnyBody Modeling System

Research output: Contribution to book/anthology/report/conference proceedingConference abstract in proceedingResearch

Abstract

This paper presents an optimization-based human movement prediction using the AnyBody modeling system (AMS). It is explained how AMS can enables prediction of a realistic human movement by means of a computationally efficient optimization-based algorithm.

The human motion predicted in AMS is based on a physics model including dynamic effects and a high level of anatomical realism. First, a musculoskeletal model comprising several hundred muscles is built in AMS. The movement is then parameterized by means of time functions controlling selected degrees of freedom of the model. Subsequently, the parameters of these functions are optimized to produce an optimum posture or movement according to a user-defined cost function and constraints. The cost function and the constraints are typically express performance, comfort, injury risk, fatigue, muscle load, joint forces and other physiological properties derived from the detailed musculoskeletal analysis. The technique is demonstrated on a human model pedaling a bicycle. We use a physiology-based cost function expressing the mean square of all muscle activities over the cycle to predict a realistic motion pattern.

Posture and motion prediction are important because they enhance the usability of digital manikins for different purposes. In the field of product design for instance, movement prediction techniques entail the possibility for product designers to reduce the number of time consuming and costly experiments. From an orthopedics point-of-view, human movement simulation enables the experts to predict the effect of prosthetic and orthotic devices.
Original languageEnglish
Title of host publicationProceedings, 4th Annual Meeting of the Danish Society of Biomechanics, 26 October 2012, Aarhus, Denmark
Number of pages1
PublisherAarhus University
Publication date26 Oct 2012
Publication statusPublished - 26 Oct 2012
EventAnnual Meeting of the Danish Society of Biomechanics - Aarhus, Denmark
Duration: 26 Oct 201226 Oct 2012
Conference number: 4

Conference

ConferenceAnnual Meeting of the Danish Society of Biomechanics
Number4
CountryDenmark
CityAarhus
Period26/10/201226/10/2012

Keywords

  • Inverse-inverse dynamic, Optimization-based movement prediction, performance criteria, musculoskeletal modeling

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