Personalized Feedback based on Automatic Activity Recognition from Mixed-Source Raw Sensor Data
Op den Akker, H. and Jones, V. and Hermens, H.J. (2009) Personalized Feedback based on Automatic Activity Recognition from Mixed-Source Raw Sensor Data. In: Proceedings of the Intelligent Data Analysis in bioMedicine and Pharmacology (IDAMAP) Workshop, July 2009, Verona, Italy. pp. 65-66.
Abstract:
We present a data set consisting of multiple wireless sensors that monitor movement and various types of bio signals, recorded from patients that suffer from chronic Obstructive Pulmonary Disease (COPD). From this data, the goal is to drive appropiate feedback to the patient that will motivate them to achieve a healthy lifestyle and a good phyisical condition.