Full-body Motion-based Exergame Interaction Design Research For Old Adults

With the aging of the population,more and more elderly people inevitably suffer from physical and cognitive deterioration.With the increasing number of application scenarios of full-body interaction,and the current motion capture technology can successfully and efficiently track whole-body movement(for example,Kinect and VR glasses),the elderly can play games for exercise.In this paper,a study on the full-body interaction of exergames is carried out.Firstly,user-defined gestures are studied.Participants are asked to perform their preferred gestures on 20 typical exercise game tasks,and 440 candidate gestures are obtained.Classified studies are carried out to analyze the differences of gesture preferences between the elderly and young people.There are significant differences in form,characteristics and location between the old group and the young group.After that,the influence of other background factors and gesture distribution in different dimensions were analyzed and compared.The influence of 3D somatosensory game factors on gesture preference and the difference of gesture preference in different dimensions between older and younger subjects in different tasks were preliminarily found.Then,by combining the agreement score,popularity(frequency),match,ease and subjective fatigue with other constraints,a set of user-defined gestures with high scores was obtained from 200 old people's customized gestures.However,through experimental review and correlation analysis,we find that the comprehensive scoring model of this method is not fully applicable to the elderly.Therefore,we propose an applicable usability test to verify user-defined gestures,and test the usability of 53 gestures with higher scores in user-defined experiments.In the experiment,with learnability,match,ease,subjective fatigue,preference and physiological risk score(REBA score)as indicators,subjective and objective data were combined to evaluate gestures from physiological and psychological dimensions,and a candidate gesture set with higher comprehensive score was obtained.The significance of the comprehensive score model is verified by correlation analysis.Finally,we combinedthe results of the two experiments,and considered the factors such as user psychological model,system recognition ability and spcae.Finally,we chose the gesture set of exergames for the elderly based on full-body interaction.In this work,we have a thorough understanding of the psychological models of older users,and translate these models into design and technical recommendations.The methods and results of this study are expected to provide reference and support for the future gesture design of the elderly.