Title:	WHERE TO GO? SMART GUIDANCE BASED ON IOT SENSOR-DATA
Author(s):	Robin Effing, Robert J. Brouwer, Asen Iliev, Thomas Teunissen and Fons Wijnhoven
ISBN:	978-989-8704-19-1
Editors:	Piet Kommers and Guo Chao Peng
Year:	2020
Edition:	Single
Keywords:	Occupation Detection, Occupation Capacity, Internet of Things, Smart Surveillance, WiFi Tracking, Smart City
Type:	Full
First Page:	117
Last Page:	128
Language:	English
Cover:
Full Contents:	click to dowload
Paper Abstract:	There is an increasing interest in indoor occupation and guidance information for business and societal purposes. Scientific literature has paid attention to various ways of detecting occupation using different sensors as data source including various algorithms for estimating occupation rates from this data. Gaining meaningful insights from the data still faces challenges because the potential benefits are not well understood. This study presents a proof-of-concept of an indoor occupation information system, following the design science methodology. We review various types of sensor data that are typically available or easy-to-install in buildings such as offices, classrooms and meeting rooms. This study contributes to current research by incorporating business requirements taken from expert interviews and tackling one of the main barriers for business by designing an affordable system on a common existing infrastructure. We believe that occupation information systems call for further research, in particular also in the context of social distancing because of covid19.
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