Carepredict, Inc.

Wisewear Corporation

Gerald J Wilmink

Ronald A Barnes

Bennett L Ibey

David P Elam, Jr

Jason A Beens

Jason B Wilson

Ehsaneh Shahhaidar

Daniel O Womble

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.

Exercise behavior prediction

Methods, apparatuses, and computer readable mediums for fall prediction assessment are provided. In a particular embodiment, a fall prediction controller is configured to compare a hydration indicator associated with a person to a hydration threshold and based on a result of the comparison of the hydration indicator to the hydration threshold, generate a fall prediction assessment of the patient.

Fall prediction assessment

Methods, apparatuses, and computer readable mediums for fall prediction assessment are provided. In a particular embodiment, a fall prediction profile generator is configured to identify, based on health status data associated with a patient, a hydration threshold for the patient. The fall prediction profile generator is also configured to store the identified hydration threshold as part of a hydration profile associated with the patient and provide the hydration profile to a fall prediction controller to generate a fall prediction assessment of the patient based on the hydration profile and a current hydration indicator associated with the patient.

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.

Waistband monitoring analysis for a user

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.

Growing community of inventors

San Antonio, TX, United States of America

Gerald J Wilmink