Functional Ability Situation Tracking for Healthy Longevity (TRACK)

Group Leaders: Dr. Christina Röcke, Dr. Susan Mérillat, Prof. Dr. Mike Martin

Group Members: Dr. Minxia Luo

Projects

Mobility, Activity and Social Interactions in the Lives of Healthy Older Adults (MOASIS)

Longitudinal Healthy Aging Brain (LHAB) Database Project - Coming soon

Overview

TRACK builds on unique research expertise on real-time, real-world detection of situations that enable individuals to achieve what they have reason to value (what WHO calls Functional Ability situations), and on the unique technology of multiscale data augmentation and analytical integration. In partnership with the private sector, this R&I group fosters innovations around healthy longevity situation detection, real-time feedback, just-in-time adaptive decision support and interventions, and therefore, contributes to optimize individual health (functional ability) situation management.

Applied Research and Innovation Potential

TRACK conducts applied research on the detection of situations, where individuals carry out social, cognitive or physical activities, and relate the latter to underlying situational opportunity structures. That way, the group can contextualize individual activities (e.g., combine cognitive engagement and choice-availability to detect decision-making activity) and, thus, identify situations in which the individual has or has not achieved what he or she values to do. In close cooperation with research and industry partners, innovations in defining and detecting such situations are being increasingly refined. Further innovations are related to translating situation detection into user-friendly feedback and decision support.

Data Access and Exchange

TRACK uses multidomain and multiscale high-density datasets comprising a multitude of data items (from high resolution brain data to complex exposome representations from sensors, trackers, hearing aids) acquired from healthy older individuals.