TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Steinmetzer, Tobias
A1  - Piatraschk, Simon
A1  - Bönninger, Ingrid
A1  - Travieso, Carlos
A1  - Priwitzer, Barbara
T1  - Gesture recognition with 3D sensors using Hidden Markov Models and clustering
T2  - IWOBI 2019 : IEEE International Work Conference on Bioinspired Intelligence : proceeding, July 3-5, 2019, Budapest, Hungary
N2  - We propose a method for recognizing dynamic gestures using a 3D sensor. New aspects of the developed system include problem-adapted data conversion and compression as well as automatic detection of different variants of the same gesture via clustering with a suitable metric inspired by Jaccard metric. The combination of Hidden Markov Models and clustering leads to robust detection of different executions based on a small set of training data. We achieved an increase of 5% recognition rate compared to regular Hidden Markov Models. The system has been used for human-machine interaction and might serve as an assistive system in physiotherapy and neurological or orthopedic diagnosis.
KW  - HMM
KW  - clustering
KW  - gesture
KW  - depth sensor
Y1  - 2019
U6  - https://doi.org/10.1109/IWOBI47054.2019.9114513
DO  - https://doi.org/10.1109/IWOBI47054.2019.9114513
SP  - 127
EP  - 132
S1  - 6
PB  - IEEE
CY  - Piscataway, NJ
ER  -