Sparse mat: A tale of devising a low-cost directional system for pedestrian counting
Tarik Reza Toha, Salman Estyak, Taslim Arefin Khan, Tusher Chakraborty, A. B. M. Alim Al Islam · 2017
Pedestrian counting is required in diversified places such as shopping malls, touristic spots, etc., however, a low-cost solution to this problem is yet to be proposed in the literature. Therefore, in this paper, we propose a new solution for pedestrian counting that exploits only a small number of COTS sensors (94% less than that used in the existing Eco-Counter [1] solution). To do so, we propose detail designs and two different algorithms for separately sensing step-down and step-up phenomena that we find while walking. User evaluation of real implementations of both our algorithms confirms an average accuracy of up to 93% through sensing the step-up phenomena.