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Virtual reality technology has made strong progress in helping to objectively diagnose Attention Deficit Hyperactivity Disorder (ADHD). In order to analyze the differences in hand interaction between patients of ADHD and normal children in a virtual environment, it's required to track and measure the hand movement of the subjects. While HTC Vive, a consumer virtual reality system, is equipped with a hand-held controller with motion capture function, its hand-held controller has not been used to track the human hand movement in clinic. So we try to explore the feasibility of using the handheld controller to track the human hand movement and conduct two experiments. Experiment 1 evaluates its position and rotation accuracy, when the handheld controller of the HTC Vive system is in static position; the random error of the system is analyzed. Experiment 2 evaluates the handheld controller's translation and rotation accuracy. Experiment 1 shows that, when the handheld controller is stationary, the location jitter errors of the handheld controller in the X, Y, and Z axes are all less than 0.25 mm and the rotational jitter errors are all less than 0.05°; the Allan variance method is further used to evaluate the measured data and the system’s main error coefficients are obtained, such as quantization noise, bias instability and rate ramp. Experiment 2 shows that the handheld controller's rotation errors around the X, Y, and Z axes are all less than 0.35° and the translation errors are all less than 3 mm along the X, Y , and Z axes. These experimental results indicate that HTC Vive can be adopted to acquire data of human hand movement, which provides a reliable basis for the objective diagnosis of patients with ADHD