Advancements in wearable biosensor technologies in recent years enable us to witness an unprecedented boom, as interest in fitness health data grow exponentially. Learning about one’s metrics and sharing of this data in various platforms has arguably become a demand and practice for daily life. This research aims to discover potential applications of wearable technology and fitness health data by taking on the existing ubiquitous computing hardware and software technologies on wearable biosensors and push them further to a new level by proposing a methodology and visualization for users response to their surroundings, and how this application could become a critical feedback mechanism for individual users as well as planners, decision makers and designers for our built environment.
CITATION STYLE
Gorgul, E., Zhang, L., Günther, F., & Chen, C. (2019). Mapping human response to street experience: A study on comparing walking with cycling on streets through wearable sensors. In UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 69–72). Association for Computing Machinery, Inc. https://doi.org/10.1145/3341162.3343793
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