| id |
caadria2019_464 |
| authors |
Scott, Sophie, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank |
| year |
2019 |
| title |
Discoverable Desks - Finding location and orientation in a mobile workplace |
| source |
M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 653-662 |
| doi |
https://doi.org/10.52842/conf.caadria.2019.2.653
|
| summary |
The drive towards increasing productivity through collaborative ways of working has spurred a parallel trend in flexible and adaptable workplace environments. Mobile desks are one feasible solution to this but workplaces that adopt mobile desks risk creating spatial inefficiencies. These range from overcrowding or underutilization, to potential compliance issues in terms of fire egress requirements and health and safety regulations. While there is a need to understand mobile desking configurations there are currently no well-established ways to track the location and orientation of mobile desks within workplaces. Consequently, this paper describes a research project that adopts an action research methodology as an iterative and participatory framework to investigate and develop a unique method for capturing the location and orientation of freely moveable desks in an open workplace environment. This uses an ensemble of Bluetooth location beacons and computer vision techniques to provide a finer resolution than either method alone can currently provide. The demonstration of this ensemble method is the main contribution of this work. This paper demonstrates that combining these methods can enhance the advantages of each; computer vision gives higher resolution and beacons reduce the scope of the image search task |
| keywords |
Indoor Positioning Systems; Office Space Planning; Location Data; Computer vision; activity-based working |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (5,867,678 bytes) |
| references |
Content-type: text/plain
|
Baldwin, M (2012)
 Participatory Action Research.
, Gray, M, Midgley, J and S A, Webb (eds), The SAGE Handbook of Social Work, Sage Publications, London, p. 467
|
|
|
|
|
Bobade, KB and Jagtap, SV (2014)
Automatic Image Annotation by classification using SIFT features
, International Journal of Scientific Research Engineering & Technology, 3, pp. 713-720
|
|
|
|
|
Candido, C, Thomas, L, Haddad, S, Zhang, F, Mackey, M and Ye, W (2018)
Designing activity-based workspaces: satisfaction, productivity and physical activity
, Building Research & Information, X, pp. 1-15
|
|
|
|
|
Dardari, D, Closas, P and Dujuric, P (2015)
Indoor Tracking: Theory, Methods, and Technologies
, IEEE Transactions on Vehicular Technology, 64, pp. 1263-1278
|
|
|
|
|
Foth, M (2006)
Network Action Research
, Action Research, 4, pp. 205-226
|
|
|
|
|
Gu, Y, Lo, A and Niemegeers, I (2009)
A Survey of Indoor Positioning Systems for Wireless Personal Networks
, IEEE Communications Surveys & Tutorials, 11, pp. 12-32
|
|
|
|
|
Gubi, KB, Wasinger, R, Fry, M, Jay, K, Kuflik, T and Kummerfeld, B (2006)
Towards a Generic Platform for Indoor Positioning using Existing Infrastructure and Symbolic Maps
, CEUR Workshop Proceedings, pp. 31-36
|
|
|
|
|
Kim, H and Han, S (2018)
Accuracy improvement of real-time location tracking for construction workers
, Sustainability (Switzerland), 10, p. 1488
|
|
|
|
|
Rizal, A R, Doherty, B and Haeusler, M H (2016)
Enabeling Low Cost Human Presence Tracking
, CAADRIA 20016, Melbourne, pp. 45-54
|
|
|
|
|
Valve Corporation, Ltd. (2012)
Valve handbook for new employees: A fearless adventure in knowing what to do when no one's there telling you what to do
, Valve Press, Washington, USA
|
|
|
|
| last changed |
2022/06/07 07:56 |
|
