ABSTRACT. Mastering a music instrument requires time-consuming practice even if students are guided by an expert. In the overwhelming majority of time, the students practise by themselves and traditional teaching materials, such as videos or textbooks, lack interaction and guidance possibilities. Adequate feedback, however, is highly important to prevent the acquirement of wrong motions and potential health problems. In this paper we envision music instruments as smart objects to enhance solo learning sessions. We give an overview on existing approaches and setups and discuss them. Finally, we conclude with recommendations for designing smart and augmented music instruments.

ABSTRACT. Digital interaction with everyday objects has become popular since the proliferation of camera-based systems that detect and augment objects "just-in-time". Common systems use a vision-based approach to detect objects and display their functionalities to the user. Sensors, such as color and depth cameras, have become inexpensive and allow seamless environmental tracking in mobile as well as stationary settings. However, object detection in different contexts faces challenges as it highly depends on environmental parameters and the conditions of the object itself. In this work, we present three tracking algorithms which we have employed in past research projects to track and recognize objects. We show, how mobile and stationary augmented reality can be used to extend the functionalities of objects. We conclude, how common items can provide user-defined tangible interaction beyond their regular functionality.

ABSTRACT. In this paper, we present a novel sensor for smart spacesbased on electric field sensing. It detects and classifiesseveral events around a door to improve presence detec-tion. We are able to detect events including {inside,outside,entry,exit,none}. In contrast to photoelectric sensors, itdoesn’t require a direct line of sight and also doesn’t reactto objects like suitcases with wheels or similar things likewheelchairs. Based on a conducted test study with 12 par-ticipants, we showed that we are able to detect the givenclasses with an overall accuracy of 90.3 %.

ABSTRACT. Signage is transitioning from static analogue signs towards Digital Signage (DS), which introduces a variety of benefits. Among those are remote-maintenance, supporting dynamic content like videos and animations, and the simplification of updating content. However, DS solutions, despite being ubiquitous, are often tailored to specific use-cases, which limits their re-usability and updateability in case of severe changes to their environment. For instance, digital door signs for office spaces may become unusable if the office space is reorganized as storage or seminar rooms. Coping with such changes may result in additional costs since new DS solutions need to be purchased or in-depth changes to the software of the currently deployed DS solution are required. To address these problems we propose the Modularly Operated Digital Signage (MODS) framework, facilitating the dynamic changing of DS functionality in a modular fashion. We present the frameworks modular concept and describe its individual components. Subsequently, we briefly elaborate on the properties of the currently implemented modules. Additionally, we discuss the conducted pre-study to receive a first indicator for the usability of the framework.