Digital motion phenomenology of depression.
The long-term objective of our project is to use motion capture technology to identify and characterize body alterations in motion associated with depression that have not been previously recognized or characterizable. These motion phenomena will be studied to determine their utility in the nosology and subtyping of depression. Quantitatively, they may have a significant impact in the areas of research, education and the clinical management of depression; and allow the creation of "virtual humans" which manifest depressive digital motion phenomena that can be used to train researchers, trainees and clinicians.
Alessi
N E
NE
Psychiatric Informatics Program, Department of Psychiatry, University of Michigan 48109, USA.
Huang
M P
MP
D003866:Depressive Disorder / Q000145:classification / Q000175:diagnosis* / Q000503:physiopathology; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D009043:Motor Activity / Q000502:physiology; D011596:Psychomotor Disorders / Q000145:classification / Q000175:diagnosis* / Q000503:physiopathology; D011603:Psychophysiology; D014584:User-Computer Interface