Zamzee

Wockets: Open Source Accelerometers for Phones Sensors and Software for Real-Time Activity Recognition on Mobile Phones The goal of this open source project is to create software and hardware that permits automatic, 24/7 physical activity and context detection on common mobile phones. We are doing this by iteratively designing and testing Wockets -- miniature, low-cost hardware devices that will measure human motion using accelerometers. Wockets will send data to mobile phones that are processed by software running on the phone to automatically detect type, duration and intensity of physical activity. The software that uses Wockets will be free and open source. This project is a collaboration between the Northeastern University Personal Health Informatics program, MIT House_n, and the Stanford Prevention Research Center. To receive occasional updates on the project, please join the project mailing list.