Development Of Hand Orientation Measurement For A Hand Muscle

Ramanathan, Suresh (2019) Development Of Hand Orientation Measurement For A Hand Muscle. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

In today’s era human machine interaction is becoming widespread. So, with the introduction of new technologies the gap between the machine and human is being reduced to ease the standard of living. Rehabilitation is probably one of the most significant phases of recovery for stroke survivors. Its goals are to build strength, capacity and self-care skills by which the survivors can continue their daily activities despite the effect of effect of stroke. The main purpose of this project is to develop a rehabilitation device for stroke patients which integrated 2-dimensional board game that motivates hand muscles movement.This thesis, describes the hand motion orientation measurement, where an accelerometer ADXL335 are used to measure the angle of the human hand motion.The project design a 2 degree of freedom accelerometer hand orientation measure device for hand gesture detection.Furthermore, the Arduino Nano is used as a controller to calculate the angle and transmit the data to receiver. Besides that, there is some mathematical calculation to measure the angle of hand motion. The main purpose of this project is to measure the performance in terms of orientation accuracy and precision. The Arduino Nano is a microcontroller that controls the overall performance of the system and it converts the angles in analog voltage given by the accelerometer ADXL 335 to the digital output. Moreover, there are three analysis to achieve the objective which are analysis on the real hand capture of maximum sampling data,filtering the unwanted signal, and the vibration identify the type of patients. The data was calculated and collected through the arctangent 2 argument algorithm of the ADXL335 celerometer. This project acheived 10 sampling sata in 1 sec it captures real hand motion. Moreover, the infinite impulse filter k=0.1is used to reduces the unwanted signal from the hand vibration. In conclusion, there are some minor challenges faced to complete this project, all the objective were acheived successfully in this project. For the future work, there will be clinical test conduct to measure the effectiveness of the project and may want to include integration with the board game, example stewart platform.

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