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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)
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)
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)
— 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.
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)
While there is more to context than location, localization and positioning must continue to be improved. Location-aware applications, such as Google Latitude, are enjoying great popularity. Location-based applications and services are widely used on platforms such as the iPhone. The localization itself thus remains an issue, especially in indoor scenarios.