Cross-platform SDK for HeyCyan smart glasses - Control photo/video capture, audio recording, and AI image generation via Bluetooth LE on iOS and Android
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Updated
Oct 22, 2025 - Objective-C
Cross-platform SDK for HeyCyan smart glasses - Control photo/video capture, audio recording, and AI image generation via Bluetooth LE on iOS and Android
This project aims to improve the accuracy of blood pressure measurements using video-based heart rate monitoring and a calculation algorithm. The system utilizes facial tracking to detect and analyze heart rate data, which is then used to estimate blood pressure.
Developing a wireless, portable system with IMU and FSR sensors to monitor foot plantar pressure and gait of individuals with DFD or neurological abnormalities. The system provides visual feedback, gait parameters, shank kinematics, CoP, and stability evaluation. Data is transferred to a PC for analysis.
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Open, cited and machine-readable database of AI glasses, smart glasses, display glasses and translation glasses. JSON/CSV/JSON-LD, CC BY 4.0. Unknown values are null, not estimated.
Dual-Board Smart Watch PCB — nRF5340 main board with IPS & e-Paper display, BLE 5.3, IMU, BME680, CCS811 + Wireless Qi charging board with BQ51003, BQ25100 & MAX86150 health sensor
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Madison Color: Technological, Inclusive & Socially Committed Fashion Brand | Fashion subsidiary of Mason Ewing Corporation | Tech partner: Thorbok Tech
ESP32 wearable-computing prototype with thermal control, a rain-responsive visor, and an AI-assisted social display.
My first project
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Wearable embedded system for deaf-blind communication using gesture recognition, audio output, and tactile feedback.
Low-cost Raspberry Pi-based wearable navigation support system with camera-based obstacle detection and audio feedback.
Machine learning project investigating emotion detection using physiological signals collected from wearable devices.
Structural Colour E-Textiles: BCP photonic fibres for electronic textiles
Python SDK for the OGLO five-finger tactile glove
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