Jun Akazawa

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Spatial temporal plantar pressure patterns measured with sheet-shaped pressure sensor were investigated to extract features of gait in Parkinson's disease. Both six subjects of Parkinson's disease (PD) and elderly fourteen normal control subjects were asked to execute usual walking on the pressure sensor sheets. Candidate features were step length, step(More)
Gait based human recognition system is most important and attractive method of biometrics. Gait the way of walking capture from distance and provide more efficient means of verification. In this paper, we propose an efficient algorithm which works on angle based technique. Initially video converted into frames and then feature abstraction is done. Here we(More)
  • Monika Jhapate, Lalitesh Choudhary, +26 authors Kenzo Akazawa
  • 2015
Biometric system is an analysis of unique biological features of human being. The purpose is used for human security and identification. Different conventional biometric (such as face recognition, iris, fingerprint, etc. ) methods are used for security and identification purpose, but they can capture only by physical control or at a close distance from(More)
The purpose of this study was to develop an algorithm for surface electromyogram (SEMG) decomposition and classification of surface motor unit (MU) action potential (MUAP) detected during isovelocity elbow flexion. In our proposed algorithm, firstly the measured SEMG was extracted for 3 seconds by every 1.5 seconds. SEMG was decomposed with Independent(More)
Surface motor unit action potential (SMUAP) is generated from a motor unit (MU) located at certain depth from the skin surface. The depth is referred to as MU location in the present papers. The MU location affects the amplitude of MUAP, and smoothed rectified electromyogram (SR EMG) is used to estimate for the muscle force. The aim of this study is to(More)
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