C
Cassim Ladha
Researcher at Newcastle University
Publications - 27
Citations - 1001
Cassim Ladha is an academic researcher from Newcastle University. The author has contributed to research in topics: Wireless sensor network & Gait. The author has an hindex of 15, co-authored 27 publications receiving 844 citations.
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Proceedings ArticleDOI
Empathy, participatory design and people with dementia
TL;DR: The development, application and evaluation of a design method tailored for working with people with mild to moderate dementia is described, which modified participatory design techniques to foster respectful engagement with participants in the development of a digital aid to facilitate "safe walking".
Proceedings ArticleDOI
ClimbAX: skill assessment for climbing enthusiasts
TL;DR: ClimbAX - a climbing performance analysis system that aims for replicating expert assessments and thus represents a first step towards an automatic coaching system for climbing enthusiasts.
Proceedings ArticleDOI
Dog's life: wearable activity recognition for dogs
TL;DR: This paper developed a collar-worn accelerometry platform that records dog behaviours in naturalistic environments and identified a set of activities, which are linked to behaviour traits that are relevant for a dog's wellbeing.
Proceedings ArticleDOI
Telematic dinner party: designing for togetherness through play and performance
Pollie Barden,Rob Comber,David Green,Dan Jackson,Cassim Ladha,Tom Bartindale,Nick Bryan-Kinns,Tony Stockman,Patrick Olivier +8 more
TL;DR: This work explores the opportunities to design a technology platform that supports remote guests in experiencing togetherness and playfulness within the practices of a traditional dinner party and proposes that one must consider the social structure and cultural background of users to inform the design of a technological intervention.
Proceedings ArticleDOI
Occupancy monitoring using environmental & context sensors and a hierarchical analysis framework
Aftab Khan,James Nicholson,Sebastian Mellor,Dan Jackson,Karim Ladha,Cassim Ladha,Jon Hand,Joseph Andrew Clarke,Patrick Olivier,Thomas Plötz +9 more
TL;DR: This work presents an approach for accurate occupancy estimation using a wireless sensor network that only collects non-sensitive data and a novel, hierarchical analysis method, and shows how the system is used for analysing historical data and identify effective room misuse and thus a potential for energy saving.