Near-Realistic Mobile Exergames With Wireless Wearable Sensors

Abstract

Exergaming is expanding as an option for sedentary behavior in childhood/adult obesity and for extra exercise for gamers. This paper presents the development process for a mobile active sports exergame with near-realistic motions through the usage of body-wearable sensors. The process begins by collecting a dataset specifically targeted to mapping real-world activities directly to the games, then, developing the recognition system in a fashion to produce an enjoyable game. The classification algorithm in this paper has precision and recall of 77% and 77% respectively, compared with 40% and 19% precision and recall on current activity monitoring algorithms intended for general daily living activities. Aside from classification, the user experience must be strong enough to be a successful system for adoption. Indeed, fast and intense activities as well as competitive, multiplayer environments make for a successful, enjoyable exergame. This enjoyment is evaluated through a 30 person user study. Multiple aspects of the exergaming user experience trials have been merged into a comprehensive survey, called ExerSurvey. All but one user thought the motions in the game were realistic and difficult to cheat. Ultimately, a game with near-realistic motions was shown to be an enjoyable, active video exergame for any environment.

Contextual Design of ICT for Physiotherapy: Toward Knowledge and Innovation Ecosystem

“…In the last years, electronic devices have been developed for integration in Internet of Things (IoT) technologies with potential for improving physiotherapy process. Technology for exergame with near-realistic motions based on body-wearable sensors was described [32]. An innovative, computer-based gaming platform based on instrumentation with a motion-sense mouse, which should transform broad range of common objects into therapeutic input devices, was designed and it is being evaluated [33].…”

User-centric exergaming with fine-grain activity recognition

“…Fine-grain movements that fit in much smaller windows could be problematic in such a scenario. Ultimately, these calculations do not properly classify fine-grain movements [8], but are still presented as applicable to the dynamic optimization approach presented here. Step right Run…”

“…Ultimately, this shows the importance of analyzing each aspect of any interactive system and the importance of the human element in that loop. This paper presents a system and optimization approach for playing a realistic soccer exergame, based on a system developed in [8]. That game consists of a sensor system for user input, a classification method for fine-grain activities, and a visual interface on a mobile tablet for gameplay and feedback.…”

“…That game consists of a sensor system for user input, a classification method for fine-grain activities, and a visual interface on a mobile tablet for gameplay and feedback. This paper dynamically adjusts the algorithm presented in [8] through the use of a derivative free optimization approach in order to define a unique exergaming experience for each individual user.…”

StarsRace: A mobile collaborative seriuos game for obesity

“…Finally, a recent paper [11] reviewed many reported studies that concern the design and development of mobile phone applications to prevent obesity, and analyses them from a user-centered design (UCD) perspective. It identified strengths and weaknesses of the existing studies in this field, and presented a review of the design processes of existing mobile phone applications to prevent obesity that have incorporated the principles of UCD.…”