Feature-specific biometric sensing using ceiling view based pyroelectric infrared sensors

Liu, Tong; Li, Jun

doi:10.1186/1687-6180-2012-206

Cited by 7 publications

(3 citation statements)

References 30 publications

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“…There has recently been considerable interests in PIR sensors for human motion detection and analysis [20][21][22][23][24][25][26][27][28]. The PIR sensor is made of pyroelectric materials which is sensitive to the thermal radiation with the wavelength between 5 and 14 µm.…”

Section: Sensing Modelmentioning

confidence: 99%

“…In general, the visible light-based vision sensors do not have the ability of acquiring the motion information directly. However, the pyroelectric infrared (PIR) sensor, due to its inherent capability in motion detection, has the ability of directly acquiring the motion information [20][21][22][23][24][25][26][27][28]. In addition, the PIR sensor can form the infrared multiplexed sensing with the visual modulation by Fresnel lens.…”

Section: Introductionmentioning

confidence: 99%

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Design and implementation of a compressive infrared sampling for motion acquisition

Liu

2014

EURASIP J. Adv. Signal Process.

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This article proposes a compressive infrared sampling method in pursuit of the acquisition and processing of human motion simultaneously. The spatial-temporal changes caused by the movements of the human body are intrinsical clues for determining the semantics of motion, while the movements of short-term changes can be considered as a sparse distribution compared with the sensing region. Several pyroelectric infrared (PIR) sensors with pseudo-random-coded Fresnel lenses are introduced to acquire and compress motion information synchronously. The compressive PIR array has the ability to record the changes in the thermal radiation field caused by movements and encode the motion information into low-dimensional sensory outputs directly. Therefore, the problem of recognizing a high-dimensional image sequence is cast as a low-dimensional sequence recognition process. A database involving various kinds of motion played by several people is built. Hausdorff distance-based template matching is employed for motion recognition. Experimental studies are conducted to validate the proposed method.

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Section: Sensing Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and implementation of a compressive infrared sampling for motion acquisition

Liu

2014

EURASIP J. Adv. Signal Process.

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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%

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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A novel low-cost and small-size human tracking system with pyroelectric infrared sensor mesh network

Yang

Luo

Liu

2014

Infrared Physics & Technology

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Feature-specific biometric sensing using ceiling view based pyroelectric infrared sensors

Cited by 7 publications

References 30 publications

Design and implementation of a compressive infrared sampling for motion acquisition

Design and implementation of a compressive infrared sampling for motion acquisition

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

A novel low-cost and small-size human tracking system with pyroelectric infrared sensor mesh network

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