Kuijper, ArjanWilmsdorff, Julian vonLenhart, MalteMalteLenhart2022-03-072022-03-072019https://publica.fraunhofer.de/handle/publica/282719In this thesis the Linoc prototyping toolkit is presented. It is built around two capacitive and two Electric Potential Sensing (EPS) groups providing unobtrusive proximity detection in the field of Human Computer Interface (HCI). The toolkits focus lies on its usability in order to be adapted in future research and novel use cases. Its strength is the possibility to change its configuration at run time. A common obstacle in the beginning of a project is the time required to familiarize with present tools and systems, before the actual project can be attended to. This can be made worse by dependencies on previous work, often not fully documented and without training given from the original designer. Good toolkits can help to overcome this problem by providing a layer of abstraction and allowing to work on a higher level. If the toolkit however requires too much time to familiarize or behaves too restrictive, its goal has been missed and no benefits are generated. To access the quality of this thesis' work, the Linoc toolkit was evaluated in terms of three different aspects: demonstration, usage and technical performance. A usage study found good reception, a steep learning curve and an interest to use the toolkit in the future. Technical benchmarks show a detectable range equal to its predecessors and in a demonstration it was shown that the toolkit can actually be used in projects.encapacitive proximity sensingtoolkitHuman-computer interaction (HCI)embedded systemLead Topic: Digitized WorkLead Topic: Individual HealthLead Topic: Smart CityResearch Line: Human computer interaction (HCI)006bachelor thesis