Frailty trajectory
Continuous frailty signal across gait, weight, hydration, and biological-age proxies.
Gait velocity
Walking speed across the room. Frailty, sarcopenia, and falls-risk signal.
Postural sway
Centre-of-mass variation while standing. Balance and falls-risk signal.
Weight & body comp
Daily mass, fluid retention proxy, and trend signal for CHF, metabolic, and recovery.
Heart-rate variability
Beat-to-beat variation. Autonomic balance, recovery, stress, and overtraining signal.
Load cell array
Strain-gauge load cells in the floor mat and seat for weight, weight distribution, balance, gait timing, and sit-to-stand dynamics.
Inertial sensors
Accelerometer and gyroscope arrays for body sway during standing, gait acceleration profile, and falls detection in the room.
ECG electrodes
Contact electrodes integrated into the seat for short-arm and short-leg ECG. Captures rhythm, conduction, and waveform morphology each sit.
PPG / optical sensor
Photoplethysmography optical sensors at the seat and handrail contact points. Captures heart rate, HRV, and SpO₂ from blood-volume pulse.
Mirror camera
Low-resolution facial and torso imaging behind the mirror with on-device inference. Reads heart rate, respiration, and SpO₂ via remote photoplethysmography (rPPG); also captures skin tone, posture, and gesture. Raw frames never leave the room; only features.
- 01
How might we make frailty trajectory visible across years, not visits?
- 02
How might we identify the inflection point where intervention still matters?
- 03
How might we share that trajectory with payers and family on user terms?
Anchor in formation