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.
Python SDK for the OGLO five-finger tactile glove
" A Bio- computational algorithm using Java and Data analytics to detect adrenaline -induced tremors for women's safety."
Flex glove that mimics finger movement: 5 flex sensors (A0-A4) on an Arduino LilyPad drive 5 servos (D5-D9) mapped to 0-180 degrees, with per-finger calibration offsets and a companion sketch for measuring sensor ranges.
Wireless 5-DoF robotic arm controlled via a custom wearable telemetry glove (MPU6050 + DIY graphite flex sensor) and dual ESP32 microcontrollers using ESP-NOW.
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.
Wearable rehabilitation glove integrating sensors, embedded acquisition, mechanical design, and real-time visualization.
A self-contained biomedical signal processing demo that simulates a realistic photoplethysmogram (PPG) signal, cleans it, detects heartbeats, and computes heart rate and heart rate variability (HRV) metrics. Includes clear visualizations for preprocessing, beat detection, HR trends, HRV spectral analysis, and Poincaré plotting
Adaptive multimodal AI orchestration for syncope-risk medical monitoring — wearable vitals, computer vision & agentic voice pipeline. AI Integrated Project · Esprit School of Engineering.
ESP32 wearable-computing prototype with thermal control, a rain-responsive visor, and an AI-assisted social display.
An ESP8266-based assistive baby monitoring system with wearable, crib and smart home alerts for deaf and hard-of-hearing mothers.
Madison Color: Technological, Inclusive & Socially Committed Fashion Brand | Fashion subsidiary of Mason Ewing Corporation | Tech partner: Thorbok Tech
Wearable embedded system for deaf-blind communication using gesture recognition, audio output, and tactile feedback.
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
My first project
Public showcase of Closer Security, a connected safety bracelet project using SOS, geolocation and secure digital services to help protect people in emergency situations.
1st Place Cornell Makeathon Underclassmen Division | The Worlds First AI Enabled hat
Machine learning project investigating emotion detection using physiological signals collected from wearable devices.
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