AAL applications based on computer vision, multimedia data processing and understanding, and machine intelligence present several advantages in terms of unobtrusiveness and information richness. Indeed, camera sensors are far less obtrusive with respect to the hindrance that other wearable sensors may cause to people’s activities. In addition to that, a single camera can monitor most of the activities performed in aroom, thus replacing many other non-visual sensors. Currently, video-based applications are effective in recognising and monitoring activities, movements, and overall conditions of the assisted individuals as well as to assess their vital parameters (e.g., heart rate, respiratory rate). Nevertheless, as the other side of the coin, cameras are often perceived as the most intrusive technologies from the viewpoint of the privacy of the monitored individuals. This is due to the richness of the information that this technology conveys and the intimate setting where it may be deployed in. Therefore, solutions able to ensure privacy preservation by context and design as well as to ensure high legal and ethical standards are in high demand. This workshop aims to give forum for contributions presenting and discussing image- and video-based AAL applications, projects and research as well as initiatives proposing ethical and privacy-aware solutions.
This workshop is organised by the GoodBrother COST Action (CA19121) on Privacy-Aware Audio- and Video-Based Applications for Active and Assisted Living.
The topics of interest include, but are not limited to, unobtrusive and user-friendly image- and video-based AAL solutions for:
- Lifelogging and self-monitoring
- Remote monitoring of vital signs
- Emotional state recognition
- Food intake monitoring
- Human activity and behaviour recognition
- Personal and daily-life assistance
- Gesture recognition
- Fall detection and prevention
- Mobility assessment and frailty recognition
- Cognitive and motor rehabilitation
This workshop is organised as part of the 21st International Conference on Image Analysis and Processing.