Qianhan Technology in Dalian, China
Shuai Tao is a assistant professor of Information and Engineering at Dalian University, China. He received his B.Sc. in automation and M.Sc. in Biophysics from China Agricultural University, Beijing, China, and his Ph.D. in Computer Science from Hokkaido University, Japan.
Shuai’s research interests are Smart Health and Medical, Ambient Intelligence (AmI), Recognition of Activities of Daily Living (ADLs), and Human-Computer Interaction (HCI). He has published several papers and received several patents in these field.He is a member of the CCF and IEEE. He is a co-founder of Qianhan technology.
Title: Gait Analysis and smart healthcare: technologies, applications, products and services
Abstract: With the rapid development of information technology in recent years and the continuous miniaturization of sensor devices, gait detection technology has developed rapidly. Moreover, the application scene of gait detection technology has been continuously expanded, including sports, health, fitness guidance, rehabilitation, and medical fields.
We have proposed an innovative gait data collection method that can get gait data of individual in daily life, which was further investigated for the correlation between gait and cognition. The collection of gait parameters in the natural state provides a more reliable data collecting method for the related research fields of diseases such as cognitive dysfunction and rehabilitation. We have now developed complete hardware devices, established basic gait data acquisition algorithms and conducted initial clinical validation for clinical models of MCI, AD, and other disease types, which are expected to have further clinical applications.