Non-linear model for joint-muscle moment arm based on skeletal-subspace muscle deformation

2015 Fiscal Year Final Research Report

• Project/Area Number: 25730156
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Intelligent robotics
• Research Institution: National Institute of Advanced Industrial Science and Technology (2015); The University of Tokyo (2013-2014)
• Principal Investigator: Murai Akihiko 国立研究開発法人産業技術総合研究所, 人間情報研究部門, 研究員 (90637274)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: デジタルヒューマンモデル / ヒトの運動計測・解析 / 体性感覚情報推定

Outline of Final Research Achievements

This research developed the novel digital human model and its computational algorithm that would be applied to the human motion analysis and somatosensory information (e.g. muscle activity) estimation for medical care, rehabilitation and sports science. I built the volumetric skin-musculoskeletal model that represents the human anatomical geometry based on BodyParts3D that is available under Creative Commons license. The volume deformations of skin and muscle were realized by applying Skeletal Subspace Deformation that is used for the skinning of character animation in the computer graphics field. My model and algorithm improved the accuracy of the muscle moment arm estimation (decreased its maximum error from 45% to 14%) by computing the muscle pathway from the deformation of the volume muscle model. This model and algorithm would contribute to the improvement of somatosensory information estimation.

Free Research Field

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