State of the Art of Audio- and Video-Based Solutions for AAL
It provides a comprehensive overview for researchers and practitioners in AAL, but is incremental as it synthesizes existing knowledge without introducing new methods.
This report surveys the state of the art in audio- and video-based solutions for Ambient Assisted Living (AAL), covering nine application scenarios such as fall detection and activity recognition, and highlights scientific advances, available products, and open challenges.
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.