Results 121 to 130 of about 143,644 (164)

Distinguishing Common Digital Phenotyping and Self-Report Parameters for Monitoring and Predicting Depression: Scoping Review.

JMIR Mhealth Uhealth
Busshart L, Petrovic M, Amin R, Hegerl U.   +3 more
europepmc   +1 more source

AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson Disease: Scoping Review.

J Med Internet Res
Li S, Chen S, Yu X, Shang H, Tu T, Quan M.   +5 more
europepmc   +1 more source

Postural Education in School-Aged Populations: Development and Usability Evaluation of a Mobile Biofeedback App (EduBack).

JMIR Hum Factors
García-Luna MA, García-Jaén M, Ruiz-Fernández D, Manchado C, Cortell-Tormo JM.   +4 more
europepmc   +1 more source

Wearable Artificial Intelligence for Epilepsy: Scoping Review.

J Med Internet Res
Aziz S, A M Ali A, Aslam H, Ul Ain N, Tariq A, Sohail Z, Murtaza S, Mahmood HI, Wazeer MI, Murtaza F, Abd-Alrazaq A, Alsahli M, Damseh R, AlSaad R, Shahzad T, Ahmed A, Sheikh J.   +16 more
europepmc   +1 more source

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Wearable Computing

IEEE Pervasive Computing, 2014
Wearable computing is gaining more and more interest as new “wearables,” intended for both work and leisure, are introduced. This trend brings benefits and challenges; for instance, the potential to improve work processes and issues related to IT management and privacy.
Jason Hong, Mary Baker
  +5 more sources

Wearability in wearable computers

2008 12th IEEE International Symposium on Wearable Computers, 2008
Wearability, or the relationship between a worn technology and the ability or desire of the user to wear it, is a key element in the successful design of wearable technologies. Wearability addresses the physical, cognitive, and emotional state of the user, and the impact of the wearable technology on the user's homeostasis in each area.
openaire   +1 more source