Pyroelectric detectors and their applications

Hossain, Abul; Rashid, M.H.

doi:10.1109/ias.1989.96963

Cited by 28 publications

(35 citation statements)

References 9 publications

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“…The PIR detector has several promising advantages: it is able to convert the incident thermal radiation into an electrical signal, and it responds to radiation with wavelengths ranging from 8µm to 14µm which just corresponds to the typical thermal radiation emitted from the human body [20]; the cost of a commercially available sensor is extremely low; the power consumption is low and suitable for wireless networks and mobile agent application. Because of these advantages, the PIR detector has been developed in lightweight biometric detection [21,22], human identification [23][24][25] and multiple human tracking [16,17].…”

Section: Related Workmentioning

confidence: 99%

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Mobile Robot Aided Silhouette Imaging and Robust Body Pose Recognition for Elderly-Fall Detection

Liu

2014

International Journal of Advanced Robotic Systems

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This article introduces a mobile infrared silhouette imaging and sparse representation-based pose recognition for building an elderly-fall detection system. The proposed imaging paradigm exploits the novel use of the pyroelectric infrared (PIR) sensor in pursuit of body silhouette imaging. A mobile robot carrying a vertical column of multi-PIR detectors is organized for the silhouette acquisition. Then we express the fall detection problem in silhouette image-based pose recognition. For the pose recognition, we use a robust sparse representation-based method for fall detection. The normal and fall poses are sparsely represented in the basis space spanned by the combinations of a pose training template and an error template. The 1 norm minimizations with linear programming (LP) and orthogonal matching pursuit (OMP) are used for finding the sparsest solution, and the entity with the largest amplitude encodes the class of the testing sample. The application of the proposed sensing paradigm to fall detection is addressed in the context of three scenarios, including: ideal non-obstruction, simulated random pixel obstruction and simulated random block obstruction. Experimental studies are conducted to validate the effectiveness of the proposed method for nursing and homeland healthcare.

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Section: Related Workmentioning

confidence: 99%

“…is the impulse response function of the PIR detector, T the temperature, t the time tag and P s the polarization per unit volume [20]. The quantity P = dP s /dT is known as the pyroelectric coefficient and related to the pyroelectric materials, so the H(t) = P · [dT/dt] is the rate of temperature change.…”

Section: Sensing Modelmentioning

confidence: 99%

Mobile Robot Aided Silhouette Imaging and Robust Body Pose Recognition for Elderly-Fall Detection

Liu

2014

International Journal of Advanced Robotic Systems

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“…This IR radiation can be modelled as a pulse signal with different amplitude and time period (Fraden, 2003;Hossain and Rashid, 1991;Odon, 2010). The time period for the pulse signal depends mainly on the human walking speed (Shankar et al, 2006).…”

Section: Modelling Of the Input Signalmentioning

confidence: 99%

“…Various research works have introduced the equivalent circuit diagram and the mathematical model that accurately describe the PIR sensor principle of operation (Shankar et al, 2006;Hossain and Rashid, 1991;Odon, 2001Odon, , 2010Golovatsky and Lobur, 2009). Therefore, and referring to those research works, the polyvinylidene fluoride PIR response to the variation of pulse amplitude and frequency can be examined with the aid of MATLAB/Simulink environment, and its system model is shown in Figure 13.…”

Section: Analysis Of the Pir Response To Human Objectmentioning

confidence: 99%

Multimodal approach for non-tagged indoor identification and tracking using smart floor and pyroelectric infrared sensors

Ibrahim

Wong

Moore

et al. 2017

IJCSE

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Abstract:Research concern has been directed toward automatic identification and tracking of people within the home environment to support smart home services such as care services for elderly and disadvantaged people to enable and prolong their independent living. Although various approaches have been proposed to deal with this problem, solutions still remain untackled for various reasons (e.g., user acceptance). The aim of this paper is to develop and implement an advanced approach that is capable to accurately detect, identify, and track people within appropriate smart home environment to be used as infrastructure for various application domains. A novel multimodal approach for non-tagged human identification and tracking within smart home environment is proposed. The proposed approach combines pyroelectric infrared (PIR) sensors and floor pressure through unique designed integration strategy aiming to merge the advantages of the two sensor types and overcome their limitations.Keywords: smart home; multimodal approach; pyroelectric infrared; PIR; sensor and smart floor.Reference to this paper should be made as follows: Al-Naimi, I., Wong, C.B., Moore, P. and Chen, X. (2017) 'Multimodal approach for non-tagged indoor identification and tracking using smart floor and pyroelectric infrared sensors', Int.

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“…Pyroelectric converters rely on the property of certain crystalline materials to generate an electrical potential when subjected to a temperature-time gradient [5,6]. Seebeck thermoelectric generators produce electricity by two different types of semiconductor materials when their junction is exposed to a temperature difference [7].…”

Section: Introductionmentioning

confidence: 99%

Modelling and Investigation of a Hybrid Thermal Energy Harvester

et al. 2018

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Abstract. The presented paper deals with dynamical and experimental investigations of a hybrid energy harvester containing shape memory alloy (SMA) wire and elastic cantilever with piezoelectric layer. The SMA wire periodically changes its temperature under the influence of a heated plate that approaches and moves away from the SMA wire. The change of SMA wire length causes rotation of the hot plate. The plate is heated by a heater with constant temperature. The repeated SMA wire extensions and contractions bend the piezoelectric cantilever which generates electric charges. The shape memory effect is presented as a temperature approximation of the Young's modulus. A dynamical model of the energy harvester is created and some analytical investigations are presented. With the help of an experimental setup the acceleration, the force, the temperature, and the output voltage have been measured. The theoretical results are validated experimentally. Some conclusions are made about the best performance of the energy harvester.

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Pyroelectric detectors and their applications

Cited by 28 publications

References 9 publications

Mobile Robot Aided Silhouette Imaging and Robust Body Pose Recognition for Elderly-Fall Detection

Mobile Robot Aided Silhouette Imaging and Robust Body Pose Recognition for Elderly-Fall Detection

Multimodal approach for non-tagged indoor identification and tracking using smart floor and pyroelectric infrared sensors

Modelling and Investigation of a Hybrid Thermal Energy Harvester

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