Detection of cervical myelopathy with Leap Motion Sensor by random forests

This paper presents a method for automatic detection of cervical myelopathy by using Leap Motion Sensor for sensing hand motion to apply a method called the 10-s grip and release test. Leap Motion data is analyzed for computing feature of hand motion, which is used for automatic detection of patient or healthy people by random forests algorithm for machine learning. For evaluating automatic detection performance, we collect real data of hand motion 54 of patient and healthy people, which is used for validating accuracy of detection.