Abstract: Methods, apparatuses, and computer readable mediums for exercise behavior prediction are provided. In a particular embodiment, the prediction evaluation controller is configured to generate an exercise activity pattern based on correlations between scheduling of a user's historical non-exercise events and the user's historical exercise events. In the particular embodiment, the prediction evaluation controller is also configured to generate, based on the generated exercise activity pattern, by the prediction evaluation controller, a future exercise event to correspond with a future non-exercise event scheduled on the user's calendar. In the particular embodiment, the prediction evaluation controller is also configured to provide an indication of the generated future exercise event.

Abstract: Methods, apparatuses, and computer readable mediums for waistband monitoring analysis for a user are provided. In a particular embodiment, a waistband monitoring device is configured to generate a motion pattern based on motion data from a motion sensor coupled to the waistband monitoring device; receive physiological data generated by a physiological sensor coupled to the waistband monitoring device, wherein the physiological data indicates at least one vital sign of the user; identify an activity of the user that corresponds to the motion data and the physiological data; and generate an analysis of the user's performance of the identified activity based on the motion data and the physiological data.

Abstract: In a particular embodiment, methods, apparatuses, computer program products, and devices for tactile messaging include receiving motion data from an accelerometer within a wearable device and determining that the received motion data matches a particular defined motion pattern of a plurality of defined motion patterns. In the particular embodiment, tactile messaging includes in response to determining that the received motion data matches the particular defined motion pattern, identifying one or more recipients and a message content that correspond to the particular defined motion pattern. Tactile messaging, according to the particular embodiment, also includes in response to identifying the one or more recipients and the message content that correspond to the particular defined motion pattern, initiating transmission, to the identified one or more recipients, a text message that includes the message content.

Abstract: Methods, apparatuses, and computer readable mediums for waistband monitoring analysis for a user are provided. In a particular embodiment, a waistband monitoring device is configured to generate a motion pattern based on motion data from a motion sensor coupled to the waistband monitoring device; receive physiological data generated by a physiological sensor coupled to the waistband monitoring device, wherein the physiological data indicates at least one vital sign of the user; identify an activity of the user that corresponds to the motion data and the physiological data; and generate an analysis of the user's performance of the identified activity based on the motion data and the physiological data.

Abstract: Methods, apparatuses, and computer readable mediums for exercise behavior prediction are provided. In a particular embodiment, the prediction evaluation controller is configured to generate an exercise activity pattern based on correlations between scheduling of a user's historical non-exercise events and the user's historical exercise events. In the particular embodiment, the prediction evaluation controller is also configured to generate, based on the generated exercise activity pattern, by the prediction evaluation controller, a future exercise event to correspond with a future non-exercise event scheduled on the user's calendar. In the particular embodiment, the prediction evaluation controller is also configured to provide an indication of the generated future exercise event.

Abstract: Methods, apparatuses, and computer readable mediums for exercise behavior prediction are provided. In a particular embodiment, the prediction evaluation controller is configured to generate an exercise activity pattern based on correlations between scheduling of a user's historical non-exercise events and the user's historical exercise events. In the particular embodiment, the prediction evaluation controller is also configured to generate, based on the generated exercise activity pattern, by the prediction evaluation controller, a future exercise event to correspond with a future non-exercise event scheduled on the user's calendar. In the particular embodiment, the prediction evaluation controller is also configured to provide an indication of the generated future exercise event.

Abstract: In a particular embodiment, methods, apparatuses, computer program products, and devices for tactile messaging include receiving motion data from an accelerometer within a wearable device and determining that the received motion data matches a particular defined motion pattern of a plurality of defined motion patterns. In the particular embodiment, tactile messaging includes in response to determining that the received motion data matches the particular defined motion pattern, identifying one or more recipients and a message content that correspond to the particular defined motion pattern. Tactile messaging, according to the particular embodiment, also includes in response to identifying the one or more recipients and the message content that correspond to the particular defined motion pattern, initiating transmission, to the identified one or more recipients, a text message that includes the message content.

Abstract: Methods, apparatuses, and computer readable mediums for choosing a heart rate monitor for a wearable monitoring device. In a particular embodiment, the wearable monitoring device identifies a location of a wearable monitoring device on a user; selects based on an identification of the location, a heart rate monitor from the plurality of heart rate monitors; and uses the selected heart rate monitor to monitor a heart rate of the user.

Abstract: Methods, apparatuses, and computer readable mediums for exercise behavior prediction are provided. In a particular embodiment, the prediction evaluation controller is configured to generate an exercise activity pattern based on correlations between scheduling of a user's historical non-exercise events and the user's historical exercise events. In the particular embodiment, the prediction evaluation controller is also configured to generate, based on the generated exercise activity pattern, by the prediction evaluation controller, a future exercise event to correspond with a future non-exercise event scheduled on the user's calendar. In the particular embodiment, the prediction evaluation controller is also configured to provide an indication of the generated future exercise event.

Abstract: Methods, apparatuses, and computer readable mediums for recommending an exercise activity for a user are provided. In a particular embodiment, the recommendation evaluation controller is configured to match a generated motion pattern that is based on sensed motion a user with a stored motion pattern selected from a plurality of stored motion patterns, where each stored motion pattern corresponds to a particular exercise activity. In the particular embodiment, the recommendation evaluation controller is also configured to identifying, based on the selected stored motion pattern and an historical exercise activity record for the user, by the recommendation evaluation controller, a recommended exercise activity for the user to perform. In the particular embodiment, the recommendation evaluation controller is also configured to provide an indication of the recommended exercise activity.