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This paper proposes the rehabilitation of a stroke patient by using dataglove called GloveMAP. GloveMAP is a low cost hand glove developed by using the flexible bending sensor and an accelerometer attached at the position of the fingers and wrist, respectively. In the studies, 22 fundamental movements of arm are evaluated and the results are employed to design the virtual environment. The combination of these fundamental movements focuses on Hemiparesis sufferers which are the most common in the stroke and have the inability to move one side of the body. The experimental results show the preliminary studies to investigate muscle activities. The research outcomes are used to design the rehabilitation based virtual environment (VR)