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Title
Abstract
Introduction
Related Work
Delimitations and Experiment Overview
Methodology
Or Peer Review
Results
Game Design
Discussion of Results
Comparative Analysis
Conclusion and Future Work
References

Application of Online Transportation Mode Recognition in Games

Profile image of Josef HallbergJosef Hallberg

Applied Sciences

https://doi.org/10.3390/APP11198901
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23 pages

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Abstract

It is widely accepted that human activities largely contribute to global emissions and thus, greatly impact climate change. Awareness promotion and adoption of green transportation mode could make a difference in the long term. To achieve behavioural change, we investigate the use of a persuasive game utilising online transportation mode recognition to afford bonuses and penalties to users based on their daily choices of transportation mode. To facilitate an easy identification of transportation mode, classification predictive models are built based on accelerometer and gyroscope historical data. Preliminary results show that the classification true-positive rate for recognising 10 different transportation classes can reach up to 95% when using a historical set (66% without). Results also reveal that the random tree classification model is a viable choice compared to random forest in terms of sustainability. Qualitative studies of the trained classifiers and measurements of Android-...

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