Alzheimer's disease is the most common form of dementia and is a serious health problem. The disease is expected to increase further in the upcoming years with the increase of the elderly population. Developing new treatments and diagnostic methods is getting more important. In this study, we focused on the early diagnosis of dementia in Alzheimer's disease via analysis of neuroimages. We analyzed the data diagnosed by the Alzheimer's Disease Neuroimaging Initiative (ADNI) protocol.
This work intends to develop an intelligent, four-dimensional (namely X-Y-Z plus somatosensory), partial control, and virtual-reality-enabled Tai-Chi System (VTCS). Tai-Chi is a traditional mind-body wellness and healing art, and its clinical benefits have been well documented. VTCS integrates Tai-Chi with a series of cutting-edge computer technologies including 4D sensor technology, big-data, signal processing and analysis, human body kinematics, deep learning, virtual reality, and 4D-reconstruction, etc.
