Auflistung nach Schlagwort "Smart home"
- ZeitschriftenartikelFrom Object Recognition to Activity Interpretation and Back, Based on Point Cloud Data(KI - Künstliche Intelligenz: Vol. 27, No. 2, 2013) Albrecht, Sven; Wiemann, Thomas; Hertzberg, Joachim; Guesgen, Hans W.; Marsland, StephenSemantic mapping of static environments has become a hot topic in robotics. The aim of the Mermaid project was to investigate the transfer of a sensor data interpretation approach for mapping to the problem of activity recognition in smart home applications such as elderly care. The basic structure of the semantic mapping approach, i.e., to assemble hypotheses of object aggregates in a closed-loop process of bottom-up raw data interpretation and top-down expectation generation from a domain ontology, can be extended to the temporal domain to include activity interpretation. This paper reports initial results, based on a study using point clouds from depth (RGB-D) sensor data.
- Zeitschriftenartikel“KogniChef”: A Cognitive Cooking Assistant(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Neumann, Alexander; Elbrechter, Christof; Pfeiffer-Leßmann, Nadine; Kõiva, Risto; Carlmeyer, Birte; Rüther, Stefan; Schade, Michael; Ückermann, André; Wachsmuth, Sven; Ritter, Helge J.Cooking is a complex activity of daily living that requires intuition, coordination, multitasking and time-critical planning abilities. We introduce KogniChef, a cognitive cooking assistive system that provides users with interactive, multi-modal and intuitive assistance while preparing a meal. Our system augments common kitchen appliances with a wide variety of sensors and user-interfaces, interconnected internally to infer the current state in the cooking process and to provide smart guidance. Our vision is to endow the system with the processing and the reasoning skills needed to guide a cook through recipes, similar to the assistance an expert chef would be able to provide on-site.
- ZeitschriftenartikelTowards Identifying User-Centered Requirements for Smart In-House Mobility Services(KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Rocznik, Dorothee; Goffart, Klaus; Wiesche, Manuel; Krcmar, HelmutSmart environments change our daily life and our daily mobility. Especially in growing smart cities we need innovative solutions of smart multi-modal transport services for travelers. In the near future, most travelers will start their multi-modal journey through a seamlessly connected smart city with intelligent mobility services at home. Nevertheless, there is a lack of well-founded requirements for smart in-house mobility services. Therefore, this paper presents a first step towards a better understanding of the situation in which travelers use digital services at home in order to inform themselves about their mobility options. As an initial step, we used an online survey to question participants $$(\text{n} = 158)$$(n=158) about their current mobility-centered needs at home. This includes five main aspects, namely (1) the pain points and the stress level regarding mobility-centered information search at home, (2) the time and type of mobility-centered information search at home, (3) the interest in vehicle-centered information at home, (4) the current and future use of different smart home features and (5) additional non-mobility needs that are also relevant in this situation for the user. Interestingly, a lack of availability of mobility-centered information was identified as the most pressing pain point regarding mobility-centered information at home. Additionally, most participants reported a growing need to access vehicle-centered information at home and a growing interest in using a variety of smart home features. Since these insights can help practitioners to develop user-centered mobility services for smart homes, our results will help to maximize customer value.