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Inexpensive wearable sensors are well-suited for the automatic recognition of many activities occuring in everyday life. But what about fast and involved movements such as those occuring in athletic sports? We tackle this question by studying the feasibility of using body-worn gyroscopes and acceleration sensors to recognize Tai Chi movements. To this end,(More)
Access to information in electronic forms is currently difficult for blind people, but electronic information, particularly hypermedia, provide great potential to overcome the difficult ies that blind people have in accessing information. The E.U. funded ACCESS Project is developing tools to facilitate user interfaces which will be adaptable to the needs of(More)
Technical advances in the neuroelectric recordings and in the computational tools for the analysis of the brain activity and connectivity make it now possible to follow and to quantify, in real time, the interactive brain activity in a group of subjects engaged in social interactions. The degree of interaction between persons can then be assessed by(More)
The stress and poor sleep quality of a person may be used as two of several components for predicting the onset of mental health problems, in particular depression. Ergonomie smart sensors that can determine the heart rate variations related to stress and the variability of sleep may provide unique insights to the coping behavior of stressed people. Rather(More)
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 research is aimed at finding an alternative approach to the practice of focusing and unblocking internal energy, referred to in Chinese Medicine as Qi. Tai Ji Quan , also known as Tai Chi, and Qi Gong are well established and excellent methods for promoting healthy Qi flow. However, by providing an alternative framework based on wearable computing that(More)
Pervasive applications often require context information about the posture, ambulatory and work activity of the user. This paper reports ongoing work on the development of a low cost ergonomic approach to motion capture that provides the opportunity to examine diverse body movement in home and office environments. In this research case it is applied to the(More)
Faced with the challenge of making running speed robots, improved light weight actuation is a primary concern. Pneumatic Air Muscle (PAM) has not been advanced significantly since their conception and some new features are needed to meet compact bi-pedal robots. Driven by air pressure, all PAMs require air control valves that ideally are light weight, low(More)