id |
caadria2016_045 |
authors |
Rizal, Annisa R.; Ben Doherty and M. Hank Haeusler |
year |
2016 |
title |
Enabling Low Cost Human Presence Tracking: Using commodity hardware to monitor human presence in workplaces |
doi |
https://doi.org/10.52842/conf.caadria.2016.045
|
source |
Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 45-54 |
summary |
Finding automated methods to track the presence of hu- mans can help designers understand workplaces. Methods to under- stand the patterns of human movement in workplaces using beacons, badges and sensors are being developed. Whilst the results are promis- ing, they can be costly and may require the manual setup of expensive equipment. The Global Positioning System (GPS) is widely adopted due to its high degree of accuracy, however, is inapplicable in indoor environments due to the physical limitations of satellite attenuation. There is no comparably ubiquitous positioning system that can be used to make device-driven position tracking that is specifically adapted to indoor environments. With the increasing popularity of phones, watches and fitness tracking bands with WiFi and Bluetooth connectivity, we explore the potential of these wireless radios as a low-cost alternative to monitor human movement. As the costs of technology continue to decrease, the means to build a low-cost tracker through WiFi and Bluetooth enabled devices in an indoor environment become possible. Furthermore, is it possible to develop a low-cost tracking device using only commodity hardware that is able to accu- rately automate and record presence in space with sufficient veracity? |
keywords |
Movement tracking; workplace environment; wireless |
series |
CAADRIA |
email |
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full text |
file.pdf (181,654 bytes) |
references |
Content-type: text/plain
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Abbott-jard, M., Shah, H. & Bhaskar, A. (2013)
Empirical evaluation of Bluetooth and Wifi scanning for road transport
, Proceedings of the Australasian Transport Research Forum, 1–14
|
|
|
|
Fleuret, F. (2008)
Multicamera people tracking with a probabilistic occupancy map
, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(2), 267–282
|
|
|
|
Francois, F., Berclaz, J., Lengagne, R. & Fua, P. (2007)
Multi-Camera People Tracking with a Probabilistic Occupancy Map
, The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 30(2), 267–282
|
|
|
|
Han, S., Kim, J., Park, C.H., Yoon, H.C. & Heo, J. (2009)
Optimal Detection Range of RFID Tag for RFID-Based Positioning System Using the k-NN Algorithm
, Sensors, 9(6), 4543–4558
|
|
|
|
Kaemarungsi, K. (2005)
Design of Indoor Positioning Systems Based on Location Fingerprinting
, King Mongkut’s Institute of Technology
|
|
|
|
Khoury, H.M. & Kamat, V.R. (2009)
Evaluation of position tracking technologies for user localization in indoor construction environments
, Automation in Construction, 18(4), 444–457
|
|
|
|
Liebig, T. & Wagoum, A. (2012)
U. K. Modelling Microscopic Pedestrian Mobility using Bluetooth
, ICAART, 270–275
|
|
|
|
Mautz, R. (2008)
Combination of Indoor & Outdoor Positioning
, ETH Zurich, Department of Civil, Environmental and Geomatic Engineering, Institute of Geodesy and Photogrammetry
|
|
|
|
Rassia, S., Hay, S., Beresford, A. & Baker, N. (2009)
Movement dynamics in office environments
, SASBE 2009: 3rd CIB International Conference on Smart and Sustainable Built Environments, 2009
|
|
|
|
Stange, H., Liebig, T., Hecker, D., Andrienko, G. & Andrienko, N. (2011)
Analytical workflow of monitoring human mobility in big event settings using Bluetooth
, Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, 2011. ACM, 51–58
|
|
|
|
Yuan, L. & He, Z. (2008)
D Indoor Navigation: a Framework of Combining BIM with 3D GIS
, 44th ISOCARP Congress 2008, 1–10
|
|
|
|
last changed |
2022/06/07 07:56 |
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