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The Internet of Things assumes that objects have digital functionality and can be identified and tracked automatically. The main goal of embedded interaction is to look at new opportunities that arise for interactive systems and the immediate value users gain. The authors developed various prototypes to explore novel ways for human-computer interaction(More)
Computing and communication technology is widely used and integrated in devices, environments, and everyday objects. Even with major advances in technology the vision of ubiquitous computing - from a user perspective - is not yet achieved. In this paper we look at new forms of interaction that will help to interact with the ubiquitous computer. In(More)
In this paper we investigate on the potential of combining social and technical networks to collaboratively provide services to both human users and technical systems. In the Internet of Things (IoT), things talk and exchange information to realize the vision of future pervasive computing environments. The common physical and social space emerges by the(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)
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)
In this paper we present a toolkit for realizing capacitive sensing applications for human-computer interaction in pervasive computing systems. We argue that capacitive sensors - due to their unique properties - are well suited for many pervasive and ubiquitous computing applications and scenarios. We describe the CapToolKit designed to rapidly realize(More)
—Today's automotive sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and line-of-sight. Future driver assistance systems such as predictive collision avoidance or situation-aware adaptive cruise control require a more complete and accurate situation(More)
We introduce and define Cognitive Objects for human-robot interaction and human-computer interaction and disambiguate them against existing 'Smart Objects'. Cognitive Objects are physical real-world objects used in manipulation tasks by humans and robots. As such, they incorporate self-awareness, reduce ambiguity and uncertainty in object recognition, and(More)
The aging society requires novel approaches to facilitate in-home services and support for ambient assisted living. The transformation of an everyday home into a supportive environment is a challenging task, as costs and necessary efforts are preventing us to change normal homes into high-tech care units. We present an alternative solution, in between fully(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 affordances of the cube and augmenting it with embedded(More)