Abstract
For the upper limb amputees and disabled persons, the human hand is a marvel of strength, sensitivity and discrimination due to innumerable tasks it can perform and more importantly the human brain controls to perform these tasks. Presently the researchers are focusing on developing bio-signals based natural gesture, which is one of the most active thrust areas in the field of rehabilitation robotics. The field of rehabilitation robotics is actively being employed to develop a human computer interface for the person with disabilities. The work reported in this paper presents the statistical comparison of muscle activation patterns (EMG) of significant hand muscles among gender between the age group of 18 to 60 years. The statistical analyses employed are: mean; standard deviation; median and variance. Time domain and frequency domain features were extracted which are employed through classification of the EMG signals. The different hand movements studied were flexion and extension of the elbow and the wrist, pronation and supination of forearm and opening and closing of the hand. From this study, we concluded that the male subjects have higher values for all the four parameters than females and also the age group between 18 years to 40 years show higher values for the statistical parameters measured when compared with aged controls and modified mean frequency showed a highest recognition rate of 84.25% which can be used further for the designing of the prosthetic hand.
Published Version
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