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Accelerometer Based Gesture Recognition System Using Distance Metric Learning for Nearest Neighbour Classification (CROSBI ID 590067)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Marasović, Tea ; Papić, Vladan Accelerometer Based Gesture Recognition System Using Distance Metric Learning for Nearest Neighbour Classification // Proc. 2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2012) / Santamaría, Ignacio ; Arenas-García, Jerónimo ; Camps-Valls, Gustavo et al. (ur.). 2012

Podaci o odgovornosti

Marasović, Tea ; Papić, Vladan

engleski

Accelerometer Based Gesture Recognition System Using Distance Metric Learning for Nearest Neighbour Classification

The need to improve communication between humans and computers has been motivation for defining new communication models, and accordingly, new ways of interacting with machines. In many applications today, user interaction is moving away from traditional keyboards and mouses and is becoming much more physical, pervasive and intuitive. This paper examines hand gestures as an alternative or supplementary input modality for mobile devices. A new gesture recognition system based on the use of acceleration sensor, that is nowadays being featured in a growing number of consumer electronic devices, is presented. Accelerometer sensor readings can be used for detection of hand movements and their classification into previously trained gestures. The proposed system utilizes Mahalanobis distance metric learning to improve the accuracy of nearest neighbour classification. In the approach we adopted, the objective function for metric learning is convex and, therefore, the required optimization can be cast as an instance of semidefinite programming. The experiments, carried out to evaluate system performance, demonstrate its efficacy.

accelerometer-based gesture recognition; distance metric learning; NN classification; convex optimization

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Podaci o prilogu

2012.

objavljeno

Podaci o matičnoj publikaciji

Proc. 2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2012)

Santamaría, Ignacio ; Arenas-García, Jerónimo ; Camps-Valls, Gustavo ; Erdogmus, Deniz ; Pérez-Cruz, Fernando ; Larsen, Jan

978-1-4673-1025-3

Podaci o skupu

2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2012)

poster

23.09.2012-26.09.2012

Santander, Španjolska

Povezanost rada

Elektrotehnika, Računarstvo