TY  - CHAP
AU  - Juan Ramon Terven Salinas
AU  - Joaquin Salas
AU  - Bogdan Raducanu
PY  - 2014//
TI  - Robust Head Gestures Recognition for Assistive Technology
T2  - LNCS
BT  - Pattern Recognition
SP  - 152
EP  - 161
VL  - 8495
PB  - Springer International Publishing
N2  - This paper presents a system capable of recognizing six head gestures: nodding, shaking, turning right, turning left, looking up, and looking down. The main difference of our system compared to other methods is that the Hidden Markov Models presented in this paper, are fully connected and consider all possible states in any given order, providing the following advantages to the system: (1) allows unconstrained movement of the head and (2) it can be easily integrated into a wearable device (e.g. glasses, neck-hung devices), in which case it can robustly recognize gestures in the presence of ego-motion. Experimental results show that this approach outperforms common methods that use restricted HMMs for each gesture.
SN  - 0302-9743
SN  - 978-3-319-07490-0
UR  - http://dx.doi.org/10.1007/978-3-319-07491-7_16
N1  - OR;MV
ID  - Juan Ramon Terven Salinas2014
ER  -