Jiroskop Sinyallerinin ˙ Islenmesiyle Bacak Hareketlerinin Siniflandirilmasi Classification of Leg Motions by Processing Gyroscope Signals
Orkun Tunçel, Kerem Altun, Billur Barshan · 2009
or¨ ulen daha kapsamli hareket ayirdetme calismalari icin bir hazirlik niteli˘ tas ¸imaktadir. Abstract In this study, eight different leg motions are classified using two single-axis gyroscopes mounted on the right leg of a sub- ject with the help of several pattern recognition techniques. The methods of least squares, Bayesian decision, k-nearest neigh- bor, dynamic time warping, artificial neural networks and sup- port vector machines are used for classification and their per- formances are compared. This study comprises the preliminary work for our future studies on motion recognition with a much wider scope. 1. Giris ¸