Title :
A method for digital representation of human movements
Author :
Lippi, Vittorio ; Avizzano, Carlo Alberto ; Ruffaldi, Emanuele
Author_Institution :
PERCRO Lab., TECIP Inst., Pisa, Italy
Abstract :
In this work we present a method to produce a model of human motion based on an expansion in functions series. The model is thought to reproduce the learned movements generalizing them to different conditions. We will show, with an example, how the proposed method is capable to produce the model from a reduced set of examples preserving the relevant features of the demonstrations while guaranteeing constraints at boundaries.
Keywords :
motion compensation; virtual reality; digital representation; function series; human motion model; human movements; learned movement reproduction; Data models; Equations; Humans; Mathematical model; Real-time systems; Trajectory; Vectors;
Conference_Titel :
RO-MAN, 2012 IEEE
Conference_Location :
Paris
Print_ISBN :
978-1-4673-4604-7
Electronic_ISBN :
1944-9445
DOI :
10.1109/ROMAN.2012.6343786
