Sensor fusion for motion capture system based on system identification

Proceedings - Computer Animation 2000, CA 2000

Volumn , Issue , 2000, Pages 71-76

  Park, ChanJong ^a   Jeong, Il Kwon ^a   Kim, Hyeong Kyo ^b   Wohn, KwangYun ^c  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^b Hanshin University   (South Korea)

^c Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Magnetic sensor; Motion capture; Optical sensor; Sensor fusion; System identification

Indexed keywords

MAGNETIC SENSORS; MAGNETISM; RELIGIOUS BUILDINGS; SIGNAL PROCESSING;

FUSION TECHNIQUES; MOTION CAPTURE; MOTION CAPTURE SYSTEM; MUTUAL ASSISTANCE; SENSOR FUSION; SENSOR INFORMATIONS; SIGNAL PROCESSING TECHNIQUE; SYSTEM IDENTIFICATION TECHNIQUES; SYSTEM-IDENTIFICATION; UPPER ARM;

OPTICAL SENSORS;

EID: 85117566272     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CA.2000.889042     Document Type: Conference Paper

References (6)

1. http://www.visgraf.impa.br/Projects/mcapture/mcapture.html
2. Scot Dyer, Jeff Martin, and John Zulauf. Motion Capture White Paper. Web Doc, 1995.
3. N. Kalouptsidis and S. Theodridis. ed. Adaptive System Identification and Signal processing Algorithms. Prentice Hall, 1993.
4. L. Ljung and T. Glad. Modeling of Dynamic Systems. Prentice Hall, 1994.
5. T. Soderstorm and P. Stoica. System Identification. Prentice Hall, 1989.
6. M. Schetzen. The Volterra Wiener Theory of the Nonlinear Systems. Wiley, 1980