Invariant representation for user independent motion recognition

Matteo Saveriano, Dongheui Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Human gesture recognition is of importance for smooth and efficient human robot interaction. One of difficulties in gesture recognition is that different actors have different styles in performing even same gestures. In order to move towards more realistic scenarios, a robot is required to handle not only different users, but also different view points and noisy incomplete data from onboard sensors on the robot. Facing these challenges, we propose a new invariant representation of rigid body motions, which is invariant to translation, rotation and scaling factors. For classification, Hidden Markov Models based approach and Dynamic Time Warping based approach are modified by weighting the importances of body parts. The proposed method is tested with two Kinect datasets and it is compared with another invariant representation and a typical non-invariant representation. The experimental results show good recognition performance of our proposed approach.

Original languageEnglish
Title of host publication22nd IEEE International Symposium on Robot and Human Interactive Communication
Subtitle of host publication"Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013
Pages650-655
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
Event22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013 - Gyeongju, Korea, Republic of
Duration: 26 Aug 201329 Aug 2013

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013
Country/TerritoryKorea, Republic of
CityGyeongju
Period26/08/1329/08/13

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