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WearablesHealth & Wellness
SportPlus
AI Fitness Watch based on RTL8763EW
Multi-sport GPS watch with automatic exercise type detection and personalized recovery scoring.
GPS Accuracy
2m
Battery
14 Days
SportPlus
Client
A sport electronics brand developing a sub-$100 GPS sports watch with AI-powered training insights.
Challenge
Classifying 20+ exercise types (running, cycling, swimming, HIIT, yoga, etc.) automatically using only wrist-based sensor data, with on-device processing for real-time feedback.
Product Concept & Architecture
The Realtek RTL8763EW dual-core Cortex-M33 SoC integrates BLE 5.0, GPS baseband, and display driver. A Sony CXD5605 GNSS provides multi-constellation positioning. HRS3300 PPG measures heart rate. A 1.43-inch AMOLED display provides always-on visibility.
Engineering Solution
We developed a cascaded activity classifier: a lightweight decision tree (2KB) performs initial high-level classification (running vs. stationary vs. cycling) using accelerometer variance and GPS speed. A second-stage TinyML CNN processes 10-second windows of HR+IMU data to distinguish sub-types. Recovery score is computed from HRV decay rate post-exercise.
Result
93% automatic exercise classification accuracy across 20 sports. 14-day battery life with daily 1-hour GPS workout.
Deep Tech FAQ
What makes the AI Fitness Watch based on RTL8763EW unique?+
The AI Fitness Watch based on RTL8763EW leverages custom hardware and edge AI to deliver industry-leading performance and efficiency.
What are the core technical benefits?+
Key benefits include low power consumption, real-time processing, robust connectivity, and a compact form factor tailored for deployment.
Can this architecture be adapted for other use cases?+
Absolutely. The underlying methodology is modular and can be retargeted for various applications with minimal redesign.
Project Profile
Services Delivered
Hardware DesignEmbedded Software
Core Technologies
BLETinyMLRTOS
Silicon & Vendors
RealtekSony
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