# State of the Art of Audio- and Video-Based Solutions for AAL

arXiv: https://arxiv.org/abs/2207.01487 · HTML: https://mlsanity.com/paper/2207.01487/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- First posted on arXiv 26 Jun 2022.

## Abstract (arXiv)

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.