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

TL;DR

This paper reviews the latest audio- and video-based applications in Ambient Assisted Living (AAL), covering technological advances, existing products, research projects, and highlighting ongoing challenges in the field.

Contribution

It provides a comprehensive overview of current AAL solutions based on audio and video data, including scientific progress, commercial products, and research initiatives.

Findings

Advances in emotion recognition and fall detection.

Identification of open challenges in AAL applications.

Overview of existing products and research projects.

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.