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The aim of this paper is to compare the performance of different kernel of classification support vector machine classification for classifying the physical daily living activities. Thirty subjects from a database performed activities such as walking, sitting, standing, laying, walking upstairs and downstairs. Inertial sensors signals ((accelerometer, gyroscope and magnetometer) from the smartphone...
This paper shows the step by step kinematic and dynamic derivation for three degree of freedom exoskeleton for lower extremities. By using the Denavit Harternberg theorem, the forward and inverse kinematic solutions of the exoskeleton are performed. The Lagrange mathematical statement is utilized which talks about kinetic strength and potential strength amid maneuver. The Anthropometry of the proposed...
In the construction of robot applications, controller is very important in producing good performance the robot system. This paper presents the modeling and simulation of multi fingered robot hand (MFRH) with the conventional and modern controllers where the output responses have been analyzed. A swarm algorithm known as Particle Swarm Optimization (PSO) has been used to find optimum solutions in...
Over the years, numerous researchers have explored the relationship between surface electromyography (sEMG) signal with joint torque that would be useful to develop a suitable controller for rehabilitation robot. This research focuses on the transformation of sEMG signal by adopting a mathematical model to find the estimated joint torque of knee extension. Swarm techniques such as Particle Swarm Optimization...
Gait can be defined as a pattern movement of human limb from one location to another location. Gait can be specified in terms of motor skill functions such as walking, jogging running, and jumping. Walking is the basic form in the human gait study. The aim of this paper is to investigate the effect on muscle activities of human walking on lower extremities in a barefoot condition and wearing of athletic...
Wavelet transform feature extraction has become one of the most powerful techniques to improve the classification accuracy. In this paper, we are investigating the multi-level Daubechies wavelet reconstruction parameters. The EMG signal after performing the Daubechies wavelet was further processed by using one of the most successful features which is MAV. RES index statistical measurement was used...
Numerous research have been carried out to develop robotic assistive technology for rehabilitation of stroke patients. The conventional robotic assistive technology was based on pre-programmed functions by the robot personnel. This makes it difficult for stroke patients to use it effectively due to unsuitable torque and movements set by the robot. Electromyography (EMG) signal measures the muscle...
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