NDLI: Simulating Gait and Structural Effects of Aging for Improved Diversity in Virtual Crowds

Content Provider	IEEE Xplore Digital Library
Author	Gunaratne, C. Wimalaratne, P.
Copyright Year	2013
Description	Author affiliation: Sch. of Comput., Univ. of Colombo, Colombo, Sri Lanka (Gunaratne, C.; Wimalaratne, P.)
Abstract	In real human crowds, diversification is caused by many factors such as gender, age, skin color, clothing, walking style, psychology etc., yet most crowd simulation systems rely only on appearance related variables for diversification. This research explores improving crowd diversity by simulating the biomechanical effects of aging in humans within crowd characters. Simulated characters were reprogrammed to be able to predict their behavior through an aging parameter predictor using support vector regression respective to their age. Data from gerontology studies recording spinal curvature and walking pattern deterioration with age were used for training. A spatial diversity algorithm was designed and implemented to distribute the resulting variants evenly among each other. Evaluations were conducted to gauge the impact on the diversification of the crowd simulation. The results prove that simulating posture and walking pattern deterioration in older characters does significantly improve biomechanical diversity within a virtual human crowd.
Starting Page	17
Ending Page	22
File Size	262080
Page Count	6
File Format	PDF
ISBN	9780769550510
DOI	10.1109/CGIV.2013.13
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomechanics Legged locomotion Biological system modeling Simulation Clothing Senior citizens Aging Crowd Simulation Virtual Characters Skin
Content Type	Text
Resource Type	Article

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