Dennis Majoe

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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 bodyworn 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)
This research looks at one approach to providing mobile phone users with a simple low cost real time user interface allowing them to control highly interactive public space applications involving one user or a large number of simultaneous users. In order to sense accurately the real time hand movement gestures of mobile phone users the method uses miniature(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)
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)
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)
As more wearable Smart sensors are used in e-Health applications the likelihood of clinical success is as much dependent on the clinical technology as the patient's acceptance to wear the sensors. By using a human centered design approach and a structured framework to engage the views of developers and end users, sensors have been developed within the(More)
PURPOSE Computerized cognitive behavioral therapy (CCBT) has been shown to be efficacious. Moreover, CCBT can be enhanced by using physiological and activity sensors, but there is no evidence about the acceptability of all these tools. The objective of this study is to examine the efficacy, expectations, satisfaction, and ease of use of an Internet-based(More)