Literature DB >> 18234481

MOPET: a context-aware and user-adaptive wearable system for fitness training.

Fabio Buttussi1, Luca Chittaro.   

Abstract

OBJECTIVE: Cardiovascular disease, obesity, and lack of physical fitness are increasingly common and negatively affect people's health, requiring medical assistance and decreasing people's wellness and productivity. In the last years, researchers as well as companies have been increasingly investigating wearable devices for fitness applications with the aim of improving user's health, in terms of cardiovascular benefits, loss of weight or muscle strength. Dedicated GPS devices, accelerometers, step counters and heart rate monitors are already commercially available, but they are usually very limited in terms of user interaction and artificial intelligence capabilities. This significantly limits the training and motivation support provided by current systems, making them poorly suited for untrained people who are more interested in fitness for health rather than competitive purposes. To better train and motivate users, we propose the mobile personal trainer (MOPET) system. METHODS AND MATERIAL: MOPET is a wearable system that supervises a physical fitness activity based on alternating jogging and fitness exercises in outdoor environments. By exploiting real-time data coming from sensors, knowledge elicited from a sport physiologist and a professional trainer, and a user model that is built and periodically updated through a guided autotest, MOPET can provide motivation as well as safety and health advice, adapted to the user and the context. To better interact with the user, MOPET also displays a 3D embodied agent that speaks, suggests stretching or strengthening exercises according to user's current condition, and demonstrates how to correctly perform exercises with interactive 3D animations. RESULTS AND
CONCLUSION: By describing MOPET, we show how context-aware and user-adaptive techniques can be applied to the fitness domain. In particular, we describe how such techniques can be exploited to train, motivate, and supervise users in a wearable personal training system for outdoor fitness activity.

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Year:  2008        PMID: 18234481     DOI: 10.1016/j.artmed.2007.11.004

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  10 in total

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2.  An awareness approach to analyze ECG streaming data.

Authors:  S Don; Duckwon Chung; Eunmi Choi; Dugki Min
Journal:  J Med Syst       Date:  2013-01-23       Impact factor: 4.460

Review 3.  A comprehensive survey of wearable and wireless ECG monitoring systems for older adults.

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4.  Diabetes-Related Cognitive Decline, a Global Health Issue, and New Treatments Approaches.

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Review 5.  Active assistance technology for health-related behavior change: an interdisciplinary review.

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6.  Active gaming as a mechanism to promote physical activity and fundamental movement skill in children.

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Journal:  Front Public Health       Date:  2013-12-24

7.  The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining.

Authors:  Karlijn Sporrel; Rémi D D De Boer; Shihan Wang; Nicky Nibbeling; Monique Simons; Marije Deutekom; Dick Ettema; Paula C Castro; Victor Zuniga Dourado; Ben Kröse
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8.  Just-in-Time Prompts for Running, Walking, and Performing Strength Exercises in the Built Environment: 4-Week Randomized Feasibility Study.

Authors:  Karlijn Sporrel; Shihan Wang; Dick D F Ettema; Nicky Nibbeling; Ben J A Krose; Marije Deutekom; Rémi D D de Boer; Monique Simons
Journal:  JMIR Form Res       Date:  2022-08-01

9.  The Importance of Filter Collection for Accurate Measurement of Cigarette Smoking.

Authors:  Megan L Saddleson; E Paul Wileyto; Rahul Darwar; Susan Ware; Andrew A Strasser
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10.  Mobile Phone-Supported Physiotherapy for Frozen Shoulder: Feasibility Assessment Based on a Usability Study.

Authors:  Thomas Stütz; Gerlinde Emsenhuber; Daniela Huber; Michael Domhardt; Martin Tiefengrabner; Gertie Janneke Oostingh; Ulrike Fötschl; Nicholas Matis; Simon Ginzinger
Journal:  JMIR Rehabil Assist Technol       Date:  2017-07-20
  10 in total

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