Publikations-Information
CGM-Augmentation: Exploring Continuous Glucose Monitoring for Augmenting Human Interoceptive Awareness
BT/MT
Status | open |
Student | N/A |
Advisor | Steeven Villa |
Professor | Prof. Dr. Albrecht Schmidt |
Task
Description
A recent trend in human-computer interaction is augmenting human sensory capabilities, among them interoceptive awareness, or the knowledge of one's own organism. This can be helpfult from a enhanced health perspective but also for a human enhancement standpoint, given that having such information could help individuals optimize the inputs they provide to their bodies to increase physical/cognitive skills. Continuous Glucose Monitoring devices provide information about the individual's blood, which can potentially be used to track activities or reactions to food/medications/habits. In this thesis, you will explore the potential applications of this devices for enhancing human performance. Ultimately creating a wearable device that read's user physiological information via blood, and delivers feedback through haptic/auditory channels.
You will
- Perform a review of current literature
- Collect in-the-wild data from participants to create an base dataset
- Create an AI/ML model that can do inferences based on CGM data
- Create a prototype that provides feedback to the user based on the AI/ML inferences
You need
- Android Programming Skills
- Understanding of AI/ML techniques