[Abstract] Objective: To evaluate the potential of using a multi-point wearable device in facilitating early diagnosis of Parkinson’s disease (PD) with the unified Parkinson′s disease Rating Scale III (UPDRS III). Methods: A total of 54 subjects were recruited in this study. They were divided into the early PD group (n=30, UPDRS III<30 points) or the normal control group (n=24).Each subject wore a multi-point wearable device when performing the standard actions required by the UPDRS III. Ten inertial sensors were employed to collect motor parameters including the angular speed and acceleration data from the subject’s chest，waist, knee joint, elbow joint, ankle joint, and foot. We compared the motor parameters between the two groups, and applied support vector machine and ten-fold cross-validation to calculate the model that could distinguish between the two groups with its diagnostic potentials. Results: There were significant statistical differences in the motion parameters of wearable devices in the early PD group and the normal control group after completing the specified actions of UPDRS III (P<0.05).The accuracy of speech action between the two groups was the highest, reaching 0.906. Compared with the upper body movement group, the lower body movement group and the whole body movement group had higher consistency, sensitivity and accuracy, and could specifically identify the movement disorders of early PD patients.Conclusion: Multi-point wearable devices can objectively evaluate the characteristics of movement disorders in early PD patients, and can be used as a tool for auxiliary diagnosis and quantitative evaluation of early PD.