Stingray InjuryIQ — v1.0

Know YourLimits...BeforeThey KnowYou...

A wearable sensor that scores your fatigue state in real time, streaming live performance telemetry to your smartphone. No display. No guesswork.

7
Real-time metrics
4
Fatigue states
5
Sport modes
Athlete in motion
01 / Fatigue States

Four States.
Zero Guesswork.

WARMING UP

Baseline adapting. The sensor is learning your motion signature for this session. No fatigue scoring yet.

GREEN

Performing within normal range. All metrics within z-score tolerance of your session baseline. You're good to push.

AMBER

Fatigue accumulating. One or more metrics drifting from baseline. Manage intensity and monitor closely.

RED

High fatigue load detected. Significant deviation across weighted metrics. Reduce output to avoid injury risk.

03 / Metrics

7 Signals.
One Score.

Each metric captures a distinct physiological fatigue mechanism. Together, weighted by your sport and sensor placement, they form a precise composite score.

RunningTeamHiking
Movement Intensity

Root-mean-square of acceleration magnitude. A fatigued athlete shows gradually reducing overall output — falling RMS in sustained sports is a strong muscular fatigue signal.

RacketTeamLifting
Impact Load

Maximum single-sample acceleration in the window. Tracks whether an athlete is landing harder (rising) or losing explosiveness (falling) — distinguishing injury risk from power loss.

RunningCyclingTeam
Rhythm Variability

Coefficient of variation of stride/stroke tempo. Rising CV means the nervous system is struggling to hold the motor pattern — often detectable before the athlete feels it.

TeamRacketLifting
Movement Smoothness

Rate of change of acceleration between samples. Fatigue disrupts neuromuscular coordination — producing choppier motion, degraded shock absorption, and compensation patterns.

#
LiftingRunningTeam
Threshold Rate

Samples exceeding a configurable acceleration threshold per window. Approximates step count, pedal strokes, or reps — showing explosive output decay and cadence drop.

RacketTeamCycling
Rotational Intensity

RMS of angular velocity. Fatigue reduces rotational range of motion to conserve energy (falls) or causes loss-of-control excess rotation (rises). Z-score captures both.

RacketTeamRunning
Rotational Load

Maximum single-sample angular velocity. Captures peak swing speed in racket sports — typically drops before average velocity does. Rising peak + falling RMS signals erratic compensatory motion.

04 / Sport Modes

Tuned For
Your Sport.

Running
Placement
Lower back / waist
Key Metrics
Movement IntensityImpact LoadRhythm VariabilityMovement Smoothness
Rationale

Sagittal-plane gait — rotation is secondary. Cadence drop and output reduction are the primary signals.

05 / The Device

Invisible.
Intelligent.
Always On.

No screen. No buttons to navigate. Just a status LED and a single button. Every configuration and readout lives in the iOS companion app over BLE — keeping the device featherlight and distraction-free.

IMU
6-axis motion sensing
BLE
iOS companion streaming
LED
Status indicator output
Sessions
Per-sport baselines
Dumbbells on gym floor
05 / How It Works

Sensor To Score
In Milliseconds.

01

IMU Sampling

The onboard IMU captures 6-axis motion data — accelerometer + gyroscope — at high frequency. Every 500 ms window of raw LSB data is processed on-device.

02

Feature Extraction

7 fatigue-relevant features are computed: Accel RMS, Accel Peak, Cadence CV, Jerk Proxy, Event Count, Gyro RMS, Gyro Peak — per your sport and placement.

03

Z-Score Scoring

Each metric is z-scored against your session baseline. Weighted by sport and placement, the combined score maps to WARMING_UP / GREEN / AMBER / RED.

04

BLE to iOS

Fatigue state, raw telemetry, and configuration stream live to the iOS companion app over BLE. The device has no display — the app is the interface.

Stingray InjuryIQ

Train Smarter.Recover Faster.Stay In The Game.

Real-time fatigue scoring for every athlete — from elite performance centres to solo training sessions.