Dream Hacker is project designed to help you sleep better. Our project plays an audio when a user is asleep.

The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference

library for reading differential pressure / gauge sensors from the manufacturer NXP. With pressure return in KPA, PSI, BAR, CMH2O quantities.

Loading and evaluating XSensor pressure mat data

The KellerProtocol dll compiled in .NETStandard 2.0 and used in a WPF and a UWP demo

Python pressure transducer calibration with a linear least-squares method

An Arduino Code that is integrated with a hardware model of a TENS Pressure Sensor Haptic Glove.

This is a project that when you add a pressure sensor, you can get a set of 3 numbers depending on the amount of pressure you apply!

Real-time infant CPR training system using Arduino. It provides pressure, heart rate rhythm, and timing feedback through sensors, LEDs, OLED display, and buzzer alerts. Built during the BECU Arduino Competition at Toronto Metropolitan University.

CanSat Telemetry GUI

Real-time infant CPR training system using Arduino. It provides pressure, heart rate rhythm, and timing feedback through sensors, LEDs, OLED display, and buzzer alerts. Built during the BECU Arduino Competition at Toronto Metropolitan University.

Data pre- and post-processing scripts for RAPID (Robust Autonomous Pressure and Inertial Devices)

🩺 Develop a real-time CPR training aid for infants, providing essential feedback on pressure, rhythm, and timing for effective life-saving practice.

A real-time embedded system for intelligent sitting posture detection and monitoring using ESP32, machine learning, and multimodal sensor fusion to promote ergonomic health and prevent musculoskeletal disorders.

🩺 Develop an Infant CPR Assistive Feedback System using Arduino to enhance training accuracy with real-time pressure and rhythm feedback.