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In recent years, there has been growing interest in the use of fitness trackers and smartphone applications for promoting physical activity. Most of these applications use accelerometers to measure the level of activity that users engage in and provide descriptive, interactive reports of a user's step counts. While these reports are data-driven and personalized, any recommendations, if provided, are limited to popular health advice. In our work, we develop an approach for providing data-driven and personalized recommendations for intraday activity planning. We generate an hour-by-hour activity plan that is informed by the user's probability of adhering to the plan. The user's probability of adherence to the plan is personalized, based on his/her past activity patterns and current activity target. Using this approach, we can tailor notifications (e.g., reminders, encouragement) based on the user's adherence to the plan. We can also dynamically update the user's activity plan mid-day, if his/her actual activity deviates sufficiently from the original plan such that the original plan becomes unrealistic for the user to achieve. In this paper we describe an implementation of our approach and report our technical findings with respect to identifying typical activity patterns from historical data, predicting whether an activity target will be achieved, and adapting an activity plan based on a user's actual performance throughout the day.
This article was published in the following journal.
Name: IEEE journal of biomedical and health informatics
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Information or data used to ensure the safe handling and disposal of substances in the workplace. Such information includes physical properties (i.e. melting, boiling, flashing points), as well as data on toxicity, health effects, reactivity, storage, disposal, first-aid, protective equipment, and spill-handling procedures.
Reproduction of data in a new location or other destination, leaving the source data unchanged, although the physical form of the result may differ from that of the source.
Observation and aquisition of physical data from a distance by viewing and making measurements from a distance or receiving transmitted data from observations made at distant location.
Physical activity which is usually regular and done with the intention of improving or maintaining PHYSICAL FITNESS or HEALTH. Contrast with PHYSICAL EXERTION which is concerned largely with the physiologic and metabolic response to energy expenditure.
Information application based on a variety of coding methods to minimize the amount of data to be stored, retrieved, or transmitted. Data compression can be applied to various forms of data, such as images and signals. It is used to reduce costs and increase efficiency in the maintenance of large volumes of data.