Smart Wearable Device Solution

The solution supports comprehensive activity tracking: (1) Step counting - accurate step detection with false step rejection using accelerometer data and proprietary algorithm. (2) Distance and calories - calculated from step count with user profile (height, weight). (3) Sleep monitoring - detects sleep/wake states, light/deep sleep phases using motion and heart rate (if added). (4) Altitude and floors - pressure sensor tracks elevation changes for stair counting and hiking. (5) Activity recognition - automatic detection of walking, running, cycling using motion patterns. (6) Swimming - water-resistant design with stroke recognition. (7) Sedentary reminders - alerts after periods of inactivity. The base solution provides step, distance, calorie, and sleep tracking

additional sensors can expand capabilities.

Step counting accuracy specifications: (1) Typical accuracy - 95-98% for normal walking on flat ground. (2) False positive rate - <2% when stationary or during non-step activities like typing. (3) Detection threshold - minimum 10 consecutive steps to start counting, prevents false counts from random motion. (4) Speed range - accurate from 3km/h (slow walk) to 15km/h (running). (5) Position independence - works when worn on wrist, waist, or in pocket with automatic orientation detection. (6) Calibration - can be calibrated for individual gait patterns for improved accuracy. (7) Testing methodology - validated against commercial fitness trackers and manual counting. Field tests show ±3% variance compared to reference devices.

Battery life depends on usage patterns and battery capacity: (1) Typical usage - 50-100 notifications/day, 1 hour exercise tracking, continuous step counting: 10-14 days with 200mAh battery. (2) Heavy usage - 200+ notifications, 2 hours exercise with GPS, frequent display activation: 5-7 days. (3) Power saving mode - reduced sampling rate, display off: 20-30 days. (4) Sensor power - accelerometer 130μA active, pressure sensor 2.7μA, total sensor <200μA. (5) Display and connectivity typically consume more power than sensors. (6) Battery capacity - 200-300mAh typical for smartwatches, 100-150mAh for fitness bands. (7) Charging - supports fast charging, typically 1-2 hours for full charge. Actual battery life depends heavily on display type, connectivity (BLE vs cellular), and user behavior.

Sleep tracking implementation: (1) Motion detection - accelerometer monitors movement during sleep

low motion indicates deep sleep, higher motion indicates light sleep or wake periods. (2) Sleep onset - algorithm detects when user becomes still for extended period (typically 30+ minutes). (3) Sleep phases - based on motion patterns: deep sleep (minimal motion), light sleep (occasional movement), REM (eye movement if additional sensors available). (4) Wake detection - sudden motion increase indicates waking. (5) Sleep score - calculated from duration, efficiency (time asleep vs time in bed), and sleep phase distribution. (6) Heart rate integration - if heart rate sensor added, HRV can improve sleep phase accuracy. (7) Data storage - sleep data stored locally and synced to smartphone app. Typical accuracy for sleep duration: ±15 minutes compared to polysomnography.

Comprehensive development resources: (1) Sensor drivers - complete I2C/SPI drivers for SC7A20 and SC7P03 with initialization, configuration, and data read functions. (2) Algorithm library - step counting, activity recognition, and sleep detection algorithms optimized for low power. (3) Reference design - schematic and PCB layout for typical smartwatch/fitness band form factor. (4) Example code - working firmware for popular MCUs (nRF52, STM32L4) demonstrating sensor integration. (5) Mobile app SDK - libraries for iOS and Android to communicate with wearable via BLE. (6) Cloud API - backend services for data storage and analytics. (7) Documentation - datasheets, application notes, and programming guides. (8) FAE support - technical assistance for integration and optimization. Most customers can create working prototype within 2-4 weeks using these resources.

Yes, the solution is designed for easy sensor expansion: (1) Heart rate sensor - optical PPG sensor can be added via I2C for heart rate and SpO2 monitoring. (2) Temperature sensor - skin temperature monitoring for health and ovulation tracking. (3) Gyroscope - SC7G20 tri-axial gyroscope for enhanced motion detection and gesture recognition. (4) Magnetometer - for compass and orientation. (5) GPS - external GPS module for location tracking during outdoor activities. (6) Bioimpedance - for body composition analysis. (7) Interface options - most sensors connect via I2C or SPI, with GPIO for interrupts. The solution supports up to 8 I2C devices with different addresses. Power management scales with additional sensors - each typically adds 50-200μA. Our FAE team can recommend sensor combinations and integration approaches for specific applications.