Dennis Majoe

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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)
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)
—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)
In this paper, we describe completed and ongoing work towards an interactive multimedia system that will appeal to today's youth culture identified as most likely to adopt such novel mobile applications that combines music, dance and technology. We describe our work in the application of three types of successful movement recognition applied in the field of(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)
This paper presents a framework for context-aware processes on factory shop floors, in which the context used for adapting processes is created directly by the workers involved in the process. It departs from other approaches to building context-aware systems where the context is pre-defined by modelling experts not directly involved in the process. The(More)
Electroencephalogram (EEG) plays an important role in E-healthcare systems, especially in the mental healthcare area, where constant and unobtrusive monitoring is desirable. In the context of OPTIMI project, a novel, low cost, and light weight wearable EEG sensor has been designed and produced. In order to improve the performance and reliability of EEG(More)