State of the Art of Audio- and Video-Based Solutions for AAL
Date Issued
June 26, 2022
Author(s)
Abstract
The report illustrates the state of the art of the most successful AAL
applications and functions based on audio and video data, namely (i)
lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii)
emotional state recognition, (iv) food intake monitoring, activity and
behaviour recognition, (v) activity and personal assistance, (vi) gesture
recognition, (vii) fall detection and prevention, (viii) mobility assessment
and frailty recognition, and (ix) cognitive and motor rehabilitation. For these
application scenarios, the report illustrates the state of play in terms of
scientific advances, available products and research project. The open
challenges are also highlighted.
applications and functions based on audio and video data, namely (i)
lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii)
emotional state recognition, (iv) food intake monitoring, activity and
behaviour recognition, (v) activity and personal assistance, (vi) gesture
recognition, (vii) fall detection and prevention, (viii) mobility assessment
and frailty recognition, and (ix) cognitive and motor rehabilitation. For these
application scenarios, the report illustrates the state of play in terms of
scientific advances, available products and research project. The open
challenges are also highlighted.
Subjects