An ethernet sniffer for the EEG acquisition system BrainNet36®
This Ethernet sniffer was designed to work together with the medical device for EEG acquisition BrainNet36® (BNT36), from EMSA Equipamentos Médicos Ltda. BrainNet36® has 36 channels, A/D converters with 16 bit accuracy, conversion time of 10 µs and Ethernet communication interface. Being a device for clinical purposes, BrainNet36® does not export data online. This sniffer was developed to allow online processing by working in promiscuous mode and recording data in a plain text file.
PyCV is a Python package of modules useful for computer vision tasks. Its current focus is on boosting techniques, Haar-like features, and face detection. PyCV provides the world's fastest method for training a face detector, in a few hours.
This is a custom mod for a USB input device. The premise is to add a circuit in between the input device and the computer which will add functionality. The initial target device is the ESKY 905A device.
This project is the conclusion of three years of research and development of a final project of Bachelor of Engineering Faculty of Univertité Sherbrooke. It consists of a circuit to representing the hand movement with neural network for recognition.
Maze simulation using WiiMote and Balance Board