@inproceedings{ee55428e71654f2cb5869f658f9284c3,
title = "Predicting support reaction forces for standing and seated tasks with given postures - A preliminary study",
abstract = "This paper proposes a systematic approach for predicting the support reaction forces (SRFs) acting on a digital human model with a given posture. In addition, a generic method has been developed to determine the accurate body segment inertia properties (BSIPs) needed for subject-specific simulation. Experiments based on motion capture are used to track the posture and to find subject's link lengths. The prediction model calculates the support reaction forces by using the zero moment point (ZMP) formulation. This study considers two general postural cases: standing and seated. The standing tasks include standing on two planes with arbitrary orientations. The seated tasks include sitting on a seat where the seat pan is parallel to the floor and both feet are on the floor.",
keywords = "Support reaction forces, ZMP, digital human model, posture",
author = "Brad Howard and Jingzhou Yang",
year = "2011",
doi = "10.1007/978-3-642-21799-9_10",
language = "English",
isbn = "9783642217982",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "89--98",
booktitle = "Digital Human Modeling - Third International Conference, ICDHM 2011, Held as Part of HCI International 2011, Proceedings",
note = "3rd International Conference on Digital Human Modeling, ICDHM 2011, Held as Part of HCI International 2011 ; Conference date: 09-07-2011 Through 14-07-2011",
}