—We present an educational and research kit to support hands-on teaching and experience of real-time activity or gesture recognition from on-body sensors. The kit is comprised of: wireless wearable sensor nodes for motion and ECG sensing; software infrastructure for synchronized data acquisition from multiple sensors, data visualization, signal alignment,… (More)
This paper reports ongoing work in which low cost sensors are combined with high level gesture recognition for automatic training and analysis of Tai Chi. Various feature extraction methods are developed for the sensors and Hidden Markov Modeling is used to classify Tai Chi movements.
Increasingly embedded devices are turning to two technologies to achieve high performance and enable efficient programmability as well as product usability. The first is multi-core processing on FPGA devices in which the multi-core architecture allows software to map application-level parallelism to inherent parallel fabric to offer better performance, the… (More)
In this paper, we consider how low cost wearable sensors may be used to enhance mobile interactions with learning and games multimedia. Unlike camera and single accelerometer based systems, the sensors developed provide measurements for all of the user's limb movements and this data can then be used to recognize what the user is doing anytime anywhere. The… (More)