Detecting Direction of Movement Using Pyroelectric Infrared Sensors

Yun, Jaeseok; Song, Min-Hwan

doi:10.1109/jsen.2013.2296601

Cited by 95 publications

(34 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Pyroelectric infrared (PIR) sensors are widely used for indoor human detection, localization and tracking [9], [10], [11]. Recent research also achieves indoor human identification within a small group using PIR sensors [12].…”

Section: Introductionmentioning

confidence: 99%

Long range, high sensitivity, low noise capacitive sensor for tagless indoor human localization

Iqbal

Lazarescu

Tariq

et al. 2017

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)

View full text Add to dashboard Cite

Capacitive sensors have important advantages and are widely used, but typically up to sensing distances comparable to sensor size. We present the design and experimental results of a self-contained long range capacitive sensor that is suitable for indoor human localization. We make differential measurements of the reactance effects of sensor plate capacitance using a constant excitation frequency, which is both less prone to noise and easier to filter. The experimental results show good sensor sensitivity up to 200 cm for a 16 cm square sensor plate, low noise and good measurement stability.

show abstract

Section: Introductionmentioning

confidence: 99%

Long range, high sensitivity, low noise capacitive sensor for tagless indoor human localization

Iqbal

Lazarescu

Tariq

et al. 2017

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)

View full text Add to dashboard Cite

show abstract

“…Lu has developed an efficient space-coding-based method for indoor human localization and tracking with wireless PIR sensors [8]. PIR sensor arrays are developed for human movement direction detection [9,10]. In our previous work [11], we presented a distributed PIR sensor network for moving human subject detection and human scenario recognition.…”

Section: Introductionmentioning

confidence: 99%

Static Human Detection and Scenario Recognition via Wearable Thermal Sensing System

et al. 2017

View full text Add to dashboard Cite

Conventional wearable sensors are mainly used to detect the physiological and activity information of individuals who wear them, but fail to perceive the information of the surrounding environment. This paper presents a wearable thermal sensing system to detect and perceive the information of surrounding human subjects. The proposed system is developed based on a pyroelectric infrared sensor. Such a sensor system aims to provide surrounding information to blind people and people with weak visual capability to help them adapt to the environment and avoid collision. In order to achieve this goal, a low-cost, low-data-throughput binary sampling and analyzing scheme is proposed. We also developed a conditioning sensing circuit with a low-noise signal amplifier and programmable system on chip (PSoC) to adjust the amplification gain. Three statistical features in information space are extracted to recognize static humans and human scenarios in indoor environments. The results demonstrate that the proposed wearable thermal sensing system and binary statistical analysis method are efficient in static human detection and human scenario perception.

show abstract

“…PIR sensors were used for tracking of direction and distance of motion in [8] via feature extraction methods. A set of two orthogonal PIR sensor pairs were used in [9] to detect the direction of movement.…”

Section: Introductionmentioning

confidence: 99%

Enhanced-Range Intrusion Detection Using Pyroelectric Infrared Sensors

Aldalahmeh¹,

Hamdan²,

Ghogho³

et al. 2016

2016 Sensor Signal Processing for Defence (SSPD)

View full text Add to dashboard Cite

Abstract-In this paper, the problem of intrusion detection using passive infrared sensors (PIR) is investigated. We study the output PIR signal in the light of the intruder's trajectory and the geometry of the sensor's field of view (FOV) and propose an inverse-square law that describes the relation of incident heat flux to the distance. The signal is modeled by a sum of exponentially modulated sinusoids. Consequently, the intrusion detection is formulated as a hypothesis testing problem and we propose an exponentially windowed periodogram (EWP) detector, which is also able to detect the direction of movement. The simulation results shows the superior performance of the EWP detector when compared to conventional detectors such as the traditional periodogram detector and the energy detector over large distances. Furthermore, results show nearly 100% correct detection of the direction of movement.

show abstract

Detecting Direction of Movement Using Pyroelectric Infrared Sensors

Cited by 95 publications

References 18 publications

Long range, high sensitivity, low noise capacitive sensor for tagless indoor human localization

Long range, high sensitivity, low noise capacitive sensor for tagless indoor human localization

Static Human Detection and Scenario Recognition via Wearable Thermal Sensing System

Enhanced-Range Intrusion Detection Using Pyroelectric Infrared Sensors

Contact Info

Product

Resources

About