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Elnaz Alizadeh Jarchlo, Xuan Tang, Hossein Doroud, Victor P. Gil Jimenez, Bangjiang Lin, Paolo Casari and Zabih Ghassemlooy, "Li-Tect: 3-D Monitoring and Shape Detection Using Visible Light Sensors," IEEE Sensors Journal, vol. 19 (3), pp. 940–949, February 2019.


In this paper, we propose Li-Tect, an algorithm to detect the shape of an object located in an indoor environment using low cost optical elements through sensing the environment's light. The algorithm analyzes, relying on the predictability of optical propagation paths, how much light is expected to propagate in the absence of obstructions caused by the presence of an object. Then, based on the received light when the object is in the room, the algorithm infers the shape of the object. In addition, the algorithm considers the reflected paths from surfaces in order to determine the object's estimated shape. We study five different scenarios characterized by different levels of complexity, room sizes, and a range of reflection nodes. The algorithm is also tested in a real prototype where several experiments are carried out in two scenarios to demonstrate the capabilities of Li-Tect in 2-D and 3-D monitoring and shape detection cases. Finally, the results show that the shape and the detection of objects in the scenarios can be easily acquired with high accuracy, even if the number of transceivers is reduced.

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Elnaz Alizadeh Jarchlo
Xuan Tang
Hossein Doroud
Victor P. Gil Jimenez
Bangjiang Lin
Paolo Casari
Zabih Ghassemlooy

BibTeX reference

    author = {Alizadeh Jarchlo, Elnaz and Tang, Xuan and Doroud, Hossein and Jimenez, Victor P. Gil and Lin, Bangjiang and Casari, Paolo and Ghassemlooy, Zabih},
    doi = {10.1109/jsen.2018.2879398},
    title = {{Li-Tect: 3-D Monitoring and Shape Detection Using Visible Light Sensors}},
    pages = {940--949},
    journal = {IEEE Sensors Journal},
    issn = {1530-437X},
    publisher = {IEEE},
    month = {2},
    number = {3},
    volume = {19},
    year = {2019},

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