Researchers from the UK demonstrate the efficacy of self-supervised learning for human activity recognition using a vast wearable dataset. By addressing convergence issues and evaluating multi-task self-supervision, they showcase robust models with superior representation quality across diverse populations and activity types.
Deep learning-enabled system surpasses location constraints for human activity recognition techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.
CMU s Synergy Lab Unveils Trio of Ubiquitous Sensing Papers miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
Researchers are using artificial intelligence (AI) to detect behavioural signs of anxiety with more than 90 per cent accuracy, and suggest that AI could