Motor functions and eye movements are essential manifestations of the nervous system function, and their impairment can reflect damage to neural control circuits. The early detection of neurological disorders is of great significance for disease diagnosis and prediction of disease progression and prognosis. The development of digital technology has overcome the shortcomings of traditional assessment of neurological-related motor function, which can be called a milestone progression. Digital technology provides new technic for evaluation of motion characteristics in certain diseases. Compared to the clinical scale, digital technic can eliminate the subjective factors and capture quantized motion features at multi-space, multi-dimension, and multi-time phases. Multiple technologies have already been used in quantitative neurological assessment, including sensor technology and video technology, which can capture the subtleties of body movements; electro-oculogram technology and eye-tracking technology, which can capture quantized eye movements. These technologies deepen the traditional understanding of the motor features of neurological diseases and capture new motor features.