Kintense: A robust, accurate, real-time and evolving system for detecting aggressive actions from streaming 3D skeleton data

2014 IEEE International Conference on Pervasive Computing and Communications, PerCom 2014

Volumn , Issue , 2014, Pages 2-10

  Nirjon, Shahriar ^a   Greenwood, Chris ^a   Torres, Carlos ^a   Zhou, Stefanie ^a   Stankovic, John A ^a   Yoon, Hee Jung ^b   Ra, Ho Kyeong ^b   Basaran, Can ^b   Park, Taejoon ^b   Son, Sang H ^b  

^a UNIVERSITY OF VIRGINIA   (United States)

^b Daegu Gyeongbuk Institute of Science and Technology   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; MUSCULOSKELETAL SYSTEM;

3D SKELETON; BODY ORIENTATION; DESIGN AND IMPLEMENTATIONS; DYNAMIC TIME WARPING; EVOLVING SYSTEMS; FALSE ALARMS; KINECT SENSORS; USER INTERACTION;

UBIQUITOUS COMPUTING;

EID: 84901375492     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PerCom.2014.6813937     Document Type: Conference Paper

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