FearLink
Wearable research into detecting acute fear and stress from physiological signals to support personal-safety alerts.
Case study
The challenge
In an emergency, a person may not be able to unlock a phone and call for help. Could a wearable recognise the physiological signs of acute fear and raise an alert automatically?
The context
This is hard. Physiological signals vary between people and overlap with exercise and excitement, and false alarms quickly destroy trust. It also involves health-related data that must be handled with explicit consent.
The approach
- Study real-time biometric signals associated with fear and stress responses.
- Process on the device where possible, so the system can work offline and keep raw data private.
- Treat alerting as a pilot-tested safety feature, with consent and user control at every step.
The solution
- Research into real-time emotional sensing from biometric data.
- Edge AI processing designed to work without connectivity.
- Prototype safety-alert flows.
The technology
The product experience
Intended as a discreet wearable that acts only when the user needs it and has agreed to it.
The current status
Have a technology problem worth solving?
Tell us what you're trying to build or fix. We'll reply within two working days with next steps — or an honest answer if we're not the right team.