MOPET: A context-aware and user-adaptive wearable system for fitness training
نویسندگان
چکیده
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.
منابع مشابه
Visual analysis of users' performance data in fitness activities
This paper presents a tool for the visual analysis of fitness performance data, such as running speed and heart rate. The tool, called MOPET Analyzer, provides a set of interactive visualizations that allow the user to analyze the relations among the different parameters of a fitness session. We developed two versions of MOPET Analyzer: one for desktop systems and one for mobile devices. The de...
متن کاملContext-Aware Recommender Systems: A Review of the Structure Research
Recommender systems are a branch of retrieval systems and information matching, which through identifying the interests and requires of the user, help the users achieve the desired information or service through a massive selection of choices. In recent years, the recommender systems apply describing information in the terms of the user, such as location, time, and task, in order to produce re...
متن کاملسیستم پیشنهاد دهنده زمینهآگاه برای انتخاب گوشی تلفن همراه با ترکیب روشهای تصمیمگیری جبرانی و غیرجبرانی
Recommender systems suggest proper items to customers based on their preferences and needs. Needed time to search is reduced and the quality of customer’s choice is increased using recommender systems. The context information like time, location and user behaviors can enhance the quality of recommendations and customer satisfication in such systems. In this paper a context aware recommender sys...
متن کاملPHD THESIS PROPOSAL: A User-Adaptive and Context-Aware Architecture for Mobile and Desktop Training Applications
Since the late 1970’s, artificial intelligence, user modeling, and human-computer interaction communities have been researching on user-adaptive systems, i.e. interactive systems that adapt their behavior to individual users on the basis of processes of user model acquisition and application that involve some form of learning, inference, or decision making [28]. Research efforts led to compelli...
متن کاملA Toolkit for Context-aware User Interface Development for Wearable Computers
This paper proposes the design and implementation of a toolkit for creating wearable user interfaces with reusable components. The toolkit is based on a model-driven approach that builds on an abstract model of the required user interface for an application. By using available context information of a wearable system, the toolkit supports context-aware user interfaces that adapt themselves.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Artificial intelligence in medicine
دوره 42 2 شماره
صفحات -
تاریخ انتشار 2008