Towards automation of dynamic-gaze video analysis taking functional upper-limb tasks as a case study.

Background And Objective: Previous studies in motor control have yielded clear evidence that gaze behavior (where someone looks) quantifies the attention paid to perform actions. However, eliciting clinically meaningful results from the gaze data has been done manually, rendering it incredibly tedious, time-consuming, and highly subjective. This paper aims to study the feasibility of automating the coding process of the gaze data taking functional upper-limb tasks as a case study.

Modular design of fatigue detection in naturalistic driving environments.

Research in driver mental fatigue is motivated by the fact that errors made by drivers often have life-threatening consequences. This paper proposes a new modular design approach for the early detection of driver fatigue system taking into account optimisation of system performance using particle swarm optimisation (PSO). The proposed system is designed and implemented using an existing dataset that was simultaneously collected from participants and vehicles in a naturalistic environment.

Acceptability of Robot Assistant in Management of Type 1 Diabetes in Children.

Background: To find out whether children with type 1 diabetes accept a humanoid robot as an assistant in their diabetes management. In particular, the study aims to determine how the patients feel the robot may contribute to their care and how they respond to advice and education provided by the robot.

Subjects And Methods: A humanoid robot was used in clinic and its acceptability was tested over 3 months in 37 children (aged 6-16 years) with type 1 diabetes during their clinic visits.