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（UPDRSⅢ）. Methods：A total of 54 subjects were recruited in this study. They were divided into the early PD group（n=30，UPDRSⅢ<30 points）and the normal control group（n=24）. Each subject wore a multi-point wearable device when performing the standard actions required by the UPDRSⅢ. Ten inertial sensors were employed to collect data on angular speed，acceleration，and other parameters from the subject’s chest，waist，knee joints，elbow joints，ankle joints， and both feet. The motor parameters of specific movements were compared between the two groups，and a support vector machine within ten-fold cross-validation was used to calculate the optimal model to distinguish the two groups and assess 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 UPDRSⅢ（P < 0.05）. The accuracy of speech action between the two groups was the highest，reaching 0.907. Compared to the upper body movements，the lower body movement and the whole body movements had higher consistency，sensitivity and accuracy，allowing for specific identification of motor dysfunction in 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.