TY - GEN
T1 - A robust gesture recognition algorithm based on sparse representation, random projections and compressed sensing
AU - Boyali, Ali
AU - Kavakli, Manolya
PY - 2012/11/24
Y1 - 2012/11/24
N2 - Compressed Sensing (CS) and Sparse Representation (SR) influenced the ways of signals are processed half a decade. The elegant solution to sparse signal recovery problem has found ground in several research fields such as machine learning and pattern recognition. The use of sparse representation and the solution of equations using ℓ1 minimization were utilized for face recognition problem under varying illumination and occlusion. Afterwards the idea was applied in biometrics to classify iris data. Similar to those studies, we use the discriminating nature of sparsity for the signals acquired in various signal domains and apply them to gesture recognition problem. The proposed algorithm in this context gives accurate recognition results over a recognition rate of 99% for user independent and 100% for user dependent gesture sets for fairly rich gesture dictionaries.
AB - Compressed Sensing (CS) and Sparse Representation (SR) influenced the ways of signals are processed half a decade. The elegant solution to sparse signal recovery problem has found ground in several research fields such as machine learning and pattern recognition. The use of sparse representation and the solution of equations using ℓ1 minimization were utilized for face recognition problem under varying illumination and occlusion. Afterwards the idea was applied in biometrics to classify iris data. Similar to those studies, we use the discriminating nature of sparsity for the signals acquired in various signal domains and apply them to gesture recognition problem. The proposed algorithm in this context gives accurate recognition results over a recognition rate of 99% for user independent and 100% for user dependent gesture sets for fairly rich gesture dictionaries.
KW - compressed sensing
KW - random projection based gesture recognition algorithm
KW - robust gesture recognition
UR - http://www.scopus.com/inward/record.url?scp=84871691277&partnerID=8YFLogxK
U2 - 10.1109/ICIEA.2012.6360730
DO - 10.1109/ICIEA.2012.6360730
M3 - Conference publication
AN - SCOPUS:84871691277
SN - 9781457721175
T3 - Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
SP - 243
EP - 249
BT - Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
T2 - 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Y2 - 18 July 2012 through 20 July 2012
ER -