RT journal article
T1 Exploiting the PIR Sensor Analog Behavior as Thermoreceptor: Movement Direction Classification Based on Spiking Neurons
A1 Guerrero Rodríguez, José María
A1 Cifredo Chacón, María Ángeles
A1 Cobos Sánchez, Clemente
A1 Pérez Peña, Fernando
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 PIR passive infrared sensor
K1 spiking neural network
K1 optical flow
K1 human occupancy detection
K1 people detection
AB Pyroelectric infrared sensors (PIR) are widely used as infrared (IR) detectors due to their basic implementation, low cost, low power, and performance. Combined with a Fresnel lens, they can be used as a binary detector in applications of presence and motion control. Furthermore, due to their features, they can be used in autonomous intelligent devices or included in robotics applications or sensor networks. In this work, two neural processing architectures are presented: (1) an analog processing approach to achieve the behavior of a presynaptic neuron from a PIR sensor. An analog circuit similar to the leaky integrate and fire model is implemented to be able to generate spiking rates proportional to the IR stimuli received at a PIR sensor. (2) An embedded postsynaptic neuron where a spiking neural network matrix together with an algorithm based on digital processing techniques is introduced. This structure allows connecting a set of sensors to the post-synaptic circuit emulating an optic nerve. As a case study, the entire neural processing approach presented in this paper is applied to optical flow detection considering a four-PIR array as input. The results validate both the spiking approach for an analog sensor presented and the ability to retrieve the analog information sent as spike trains in a simulated optic nerve.
PB MDPI
SN 1424-8220
YR 2023
FD 2023-06-22
LK http://hdl.handle.net/10498/30302
UL http://hdl.handle.net/10498/30302
LA eng
NO This research was partially supported by the Spanish grant MINDROB (PID2019-105556GB-C33) and by the CHIST-ERA H2020 grant SMALL (CHIST-ERA-18-ACAI-004).
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026