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Interdisciplinary research from the domains of pervasive computing or ubiquitous computing, computer-human-interaction and computer science has led to the development of many intelligent environments , either on lab scale or as live in laboratories. While several middleware have been developed in this field, no standard middleware for intelligent(More)
We report on our extended research on GymSkill, a smartphone system for comprehensive physical exercising support, from sensor data logging, activity recognition to on-top skill assessment, using the phone's built-in sensors. In two iterations, we used principal component breakdown analysis (PCBA) and criteria-based scores for individualized and(More)
—We present GymSkill, a personal trainer for ubiquitous monitoring and assessment of physical activity using standard fitness equipment. The system records and analyzes exercises using the sensors of a personal smartphone attached to the gym equipment. Novel fine-grained activity recognition techniques based on pyramidal Principal Component Breakdown(More)
In this paper we introduce the design and development of a display cube as a novel tangible user interface. Using the common shape of a cube we implemented a platform that supports input by gesture recognition and output through 6 displays mounted at the sides of the cube. Exploiting the physical affordances of the cube and augmenting it with embedded(More)
The effective development and deployment of complex and heterogeneous ubiquitous computing applications is hindered by the lack of a comprehensive middleware infrastructure: interfaces to sensors are company specific and sometimes even product specific. Typically, these interfaces also do not sustain the development of robust systems that make use of sensor(More)
In this paper we introduce the design and development of the Learning Cube as a novel tangible learning appliance. Using the common shape of a cube we implemented a general learning platform that supports test based quizzes where questions and answers can be text or image based. Exploiting the physical af-fordances of the cube and augmenting it with(More)
— In this paper we report on a use case of networked sensing technologies in the context of smart homes and specifically the kitchen as scenario for our research. We adapt, use and extend an existing middleware originating from robotics for pervasive computing. We report on initial results towards context recognition in this sensor enriched environment.
In this paper, we present Thracker – a low-cost and robust hardware to track hand gestures in front of a screen or small-scale active spaces like public displays or posters. Thracker uses capacitive sensing for tracking user input. Thracker allows for entire new interaction modes like picking and dropping an object on the screen with the hand. We present a(More)