Linqstat-based Touch Sensor Keyboard for Physical Access Security

With the purpose of increasing the security of physical access in restricted areas, the paper proposes the use of the Linqstat material for a touch sensor keyboard consisting of 19 keys with the possibility of expansion for later versions, model that is missing from the specialized literature. The advantage of this type of sensor is that it can also be applied to a curved surface, with the necessary calibration. The construction method of the keyboard including the touch sensor is presented. First, a neural network (NN) is used to locate the touch on the keyboard, then a second method detects each pressed key individually.

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Published
2024-10-09
DOI
https://doi.org/10.1109/cas62834.2024.10736868
Primary Topic
IoT-based Smart Home Systems
Type
article
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article

Linqstat-based Touch Sensor Keyboard for Physical Access Security

Cristian-Ovidiu Opriş, P.L. Milea, Ana–Maria Drăgulinescu, Andrei Drăgulinescu et al.
IoT-based Smart Home Systems
article

Linqstat-based Touch Sensor Keyboard for Physical Access Security

Cristian-Ovidiu Opriş, P.L. Milea, Ana–Maria Drăgulinescu, Andrei Drăgulinescu, Theodor Andrei Pruteanu
article en

Abstract

With the purpose of increasing the security of physical access in restricted areas, the paper proposes the use of the Linqstat material for a touch sensor keyboard consisting of 19 keys with the possibility of expansion for later versions, model that is missing from the specialized literature. The advantage of this type of sensor is that it can also be applied to a curved surface, with the necessary calibration. The construction method of the keyboard including the touch sensor is presented. First, a neural network (NN) is used to locate the touch on the keyboard, then a second method detects each pressed key individually.

Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Affordable and clean energy
Openalex Percentile: Top 83%
IoT-based Smart Home Systems
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