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Since current signatures are generally not verified carefully, frauds by forging others signature always happen. This paper tried to authenticate user automatically with electronic signatures on mobile device. We collected coordinates, pressure, contact area and other biometric data when users sign their name on touch screen smart phone. Then we used four different classification algorithms, Support...
This paper presents a novel hand motion recognition method to achieve the volitional control of a multi-DOF prosthetic hand. Based on the principle that the pressure distributions on the surface of forearm caused by the muscular activities are different when different hand motions are performed, a human-machine interface (HMI) composed of 32 force sensitive resistor (FSR) sensors, measurement unit...
This paper presents a novel approach that recognizing heart rhythm with the combination of adaptive Hermite decomposition and support vector machines (SVM) classification. The novelty lies in two aspects. In the first aspect, for the goal of feature extraction, the orthogonal transformation based on Hermite basis functions is proposed to characterize the morphological features of ECG data. In the...
There is a growing perception that the research of fishery water quality forecasting are popular and important topic today, due to the food quality security and health impact caused by exposing to water pollutants existing in aquaculture. This paper aims to prove the feasibility of predicting the organic pollutant levels of pond water via SVM. The experimental data in weekly time series are collected...
In the traditional method of flatness pattern recognition known as neural network with a changing topological configuration, slow convergence and local minimum were observed. Moreover, the process of experimenting the initial parameters and structure of the neural network according to the experience before has been proved time-consuming and complex. In this paper, a new approach was proposed based...
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