Abstract: A system that facilitates management of physical activity by dynamically compensating for current conditions is provided. A user profile can be employed to automatically calibrate an activity device (e.g., treadmill, cycle, haptic brace) based upon characteristics and/or limitations of a user. User activity and other data (e.g., physiological data, motion data, environmental data) can be monitored and employed to dynamically recalibrate the activity device in an effort to optimize performance. Additionally, a simulation profile can be employed as a benchmark for performance. For example, actual user activity can be contrasted against the simulation profile in order to provide feedback, motivation, or even to facilitate dynamic calibration of an activity device throughout an exercise regimen.

Abstract: A system that can monitor motion and establish haptic feedback to promote rehabilitation and/or strength training is provided. The innovation can be applied at any point along a rehabilitative progression continuum to provide computer-regulated (e.g., virtual, remote) training and/or coaching. For example, the innovation can be employed to actively drive a limb, provide force feedback to promote wellness, passively monitor motion of a limb or even to establish resistance to encourage strength training. The modular components of the system promote adaptability to users of all shapes and sizes.

Abstract: A system that can enable establishment of a self-describing data network is provided. Generally, the innovation provides a mechanism by which self-describing data can be collected, validated and stored in such a way that permits each data element to be inherently self-describing. The manner in which the data is stored can be analogized to a ‘data chemistry’ whereby data is stored in the smallest meaningful bit (e.g., atom) coupled with descriptive metadata (e.g., tags). In a specific example, the data network maintains health-related data where each element includes a core data element wrapped with descriptive metadata. The descriptive metadata (e.g., tags) can be employed to interrelate the data elements for storage as well as to facilitate efficient traversal of the data network as a whole.

Abstract: A wireless opportunistic network that can facilitate data transfer by way of interconnected devices is disclosed. In accordance with this opportunistic network, each of the devices effectively contributes to the transfer of the information thereby obviating the need for an external carrier. In this manner, the carrier infrastructure is embodied and distributed throughout the individual devices of the network. In a particular aspect, the opportunistic network is employed to transfer and make available health-related data. This functionality can be used in many scenarios related to heath from, monitoring patients and conveying basic diagnostic data to identifying bioterrorism by way of collaborating data between a number of devices within the network. Essentially, the innovation provides for at least two core functional ideas, the opportunistic network infrastructure and the use of the network in health related scenarios.

Abstract: An overall health strategy system that can change consumer behavior by providing an integrated data platform together with individualized third-party services which leverage the data to supply health-related advice, care and products is provided. An interconnected health-related data network can be leveraged in order to proactively (or retroactively) analyze and share data associated to health of a defined population, race, region, age group, etc. Data can be mined in order to identify consistencies, patterns, trends, etc. which can then be used to establish health-related advice, care, warnings, treatments, product suggestions, product research, target advertising or the like.

Abstract: A system that can enable remote monitoring and/or compliance determination by viewing sequences of images captured during an event is disclosed. For example, the innovation can employ captured event sequences to enable a viewer or third party to assess a subject's activities and/or actions. The granularity of the capture of event sequences can be programmed and triggered based upon sensory data. The system also provides mechanisms to locate images or sequences, playback images or sequences or images as well as to set compliance parameters associated with a preference or life style.

Abstract: A system that can enhance cognitive ability by viewing sequences of images captured during an event is disclosed. For example, the innovation can employ captured event sequences to improve failing memories in patients with a diagnosed memory condition such as acquired brain injury or neurodegenerative disease such as Alzheimer's disease. These event sequences can be captured in the point-of-view of a user (e.g., first person) as well as from a third person or other monitoring location (e.g., car).

Abstract: A system that can enable clinical trial compliance determination by viewing sequences of images captured during an event is disclosed. For example, the innovation can employ captured event sequences to enable a subject or third party to assess a subject's actions related to a medical trial. The capture of event sequences can be triggered based upon sensory data, radio frequency identification (RFID) data, pattern recognition data, etc. The system also provides mechanisms to locate images or sequences, playback images or sequences or images as well as to set compliance parameters associated with a particular clinical trial.