T
Tom Calvert
Researcher at Simon Fraser University
Publications - 60
Citations - 2612
Tom Calvert is an academic researcher from Simon Fraser University. The author has contributed to research in topics: Animation & Dance. The author has an hindex of 23, co-authored 59 publications receiving 2521 citations. Previous affiliations of Tom Calvert include University of British Columbia.
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Journal ArticleDOI
Using psychophysiological techniques to measure user experience with entertainment technologies
TL;DR: Evidence is found that there is a different physiological response in the body whenPlaying against a computer versus playing against a friend, and guidelines are provided for collecting physiological data for user experience analysis.
Proceedings ArticleDOI
Goal-directed, dynamic animation of human walking
Armin Bruderlin,Tom Calvert +1 more
TL;DR: A hybrid approach to the animation of human locomotion which combines goal-directed and dynamic motion control is presented, which has shown that when a few parameters, such as velocity, step length and step frequency are specified, a wide variety of human walks can be generated in almost real-time.
Proceedings Article
Emotion from motion
TL;DR: This paper introduces a model to generate emotional animation from neutral humanmotion using techniques from signal processing, which is then applied to existing motions of articulated gures in order to produce the same motions, but with an emotional quality such as angry or sad.
Journal ArticleDOI
A Systems Model of the Effects of Training on Physical Performance
TL;DR: A systems model is proposed to relate a Profile of athletic performance to a profile of training and it is shown that if a time series of training impulses is used as input, a swimmer's performance in 100 m criterion performances can be modeled rather well with a simple linear system.
Journal ArticleDOI
Moticons: detection, distraction and task
TL;DR: An empirical investigation of the utility of several perceptual properties of motion in information-dense displays applied to notification shows that icons with simple motions, termed moticons, are effective coding techniques for notification and are often better detected and identified than colour and shape codes, especially in the periphery.