{"year":"2018","corporate_editor":["Gesellschaft für Informatik"],"user_id":"249224","citation":{"short":"D. Becking, J. Budke, M. Cichonczyk, in: R. Zender, U. Lucke, J. Haase, M. von der Heyde, G. Leitner, W. Meyer, Gesellschaft für Informatik (Eds.), 2018.","alphadin":"<span style=\"font-variant:small-caps;\">Becking, Dominic</span> ; <span style=\"font-variant:small-caps;\">Budke, Jan</span> ; <span style=\"font-variant:small-caps;\">Cichonczyk, Mario</span>: Towards the Empathic Building – Detection and recognition of well-being of individuals and groups. In: <span style=\"font-variant:small-caps;\">Zender, R.</span> ; <span style=\"font-variant:small-caps;\">Lucke, U.</span> ; <span style=\"font-variant:small-caps;\">Haase, J.</span> ; <span style=\"font-variant:small-caps;\">von der Heyde, M.</span> ; <span style=\"font-variant:small-caps;\">Leitner, G.</span> ; <span style=\"font-variant:small-caps;\">Meyer, W.</span> ; <span style=\"font-variant:small-caps;\">Gesellschaft für Informatik</span> (Hrsg.): , 2018","apa":"Becking, D., Budke, J., &#38; Cichonczyk, M. (2018). Towards the Empathic Building – Detection and recognition of well-being of individuals and groups. In R. Zender, U. Lucke, J. Haase, M. von der Heyde, G. Leitner, W. Meyer, &#38; Gesellschaft für Informatik (Eds.). Presented at the INFORMATIK 2018, Potsdam.","chicago":"Becking, Dominic, Jan Budke, and Mario Cichonczyk. “Towards the Empathic Building – Detection and Recognition of Well-Being of Individuals and Groups.” edited by R. Zender, U. Lucke, J. Haase, M. von der Heyde, G. Leitner, W. Meyer, and Gesellschaft für Informatik, 2018.","ieee":"D. Becking, J. Budke, and M. Cichonczyk, “Towards the Empathic Building – Detection and recognition of well-being of individuals and groups,” presented at the INFORMATIK 2018, Potsdam, 2018.","bibtex":"@inproceedings{Becking_Budke_Cichonczyk_2018, title={Towards the Empathic Building – Detection and recognition of well-being of individuals and groups}, author={Becking, Dominic and Budke, Jan and Cichonczyk, Mario}, editor={Zender, R. and Lucke, U. and Haase, J. and von der Heyde, M. and Leitner, G. and Meyer, W. and Gesellschaft für InformatikEditors}, year={2018} }","mla":"Becking, Dominic, et al. <i>Towards the Empathic Building – Detection and Recognition of Well-Being of Individuals and Groups</i>. Edited by R. Zender et al., 2018.","ama":"Becking D, Budke J, Cichonczyk M. Towards the Empathic Building – Detection and recognition of well-being of individuals and groups. In: Zender R, Lucke U, Haase J, et al., eds. ; 2018."},"title":"Towards the Empathic Building – Detection and recognition of well-being of individuals and groups","date_created":"2023-04-12T12:05:39Z","status":"public","_id":"2738","author":[{"orcid":"0000-0001-9291-9994","first_name":"Dominic","id":"210346","full_name":"Becking, Dominic","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0001-9291-9994/work/156951731","last_name":"Becking"},{"first_name":"Jan","last_name":"Budke","full_name":"Budke, Jan"},{"last_name":"Cichonczyk","full_name":"Cichonczyk, Mario","id":"221547","first_name":"Mario"}],"editor":[{"first_name":"R.","last_name":"Zender","full_name":"Zender, R."},{"full_name":"Lucke, U.","last_name":"Lucke","first_name":"U."},{"first_name":"J.","full_name":"Haase, J.","last_name":"Haase"},{"full_name":"von der Heyde, M.","last_name":"von der Heyde","first_name":"M."},{"first_name":"G.","full_name":"Leitner, G.","last_name":"Leitner"},{"first_name":"W.","last_name":"Meyer","full_name":"Meyer, W."}],"quality_controlled":"1","conference":{"location":"Potsdam","name":"INFORMATIK 2018"},"abstract":[{"lang":"eng","text":"This paper reviews the current state of science and technology on the detection and\r\nrecognition of well-being of individuals and groups of people. It turns out that most of the current\r\nresearch projects refer merely to partial areas of this problem. Some concentrate on single values like\r\ntemperature, ventilation or lighting separately. However, the results are often encouraging, suggesting\r\nthat recognition of general well-being could in principle be possible. Based on these results we\r\npropose a new approach to measure and detect complacency in order to enable smart buildings to\r\nreact to the needs of the inhabitants and users accordingly. Datasets composed of personal data from\r\nportable sensors and wearables or from questionnaires, data from sensor of the building and additional\r\ninformation like the current utilization of the room result in a clustering problem which can be solved\r\nusing methods and algorithms of supervised learning."}],"type":"conference","language":[{"iso":"eng"}],"date_updated":"2024-04-04T10:24:17Z"}