Indoor human monitoring system using wireless and pyroelectric sensory fusion system

Luo, Ren C.; Chen, Ogst; Lin, Cheng

doi:10.1109/iros.2010.5651345

Cited by 12 publications

(5 citation statements)

References 16 publications

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“…The authors have deployed magnetometer sensors and micro power impulse radar sensors to track and distinguish metallic and nonmetallic object moving through the surveillance area. In [4] the authors have carried out research on indoor monitoring system based on wireless and pyroelectric Infrared sensory fusion system. Their algorithm helps in determining the fused position of the moving person using detection methodology of PIR sensor as well as location information using RF propagation model.…”

Section: Related Workmentioning

confidence: 99%

A case study on smart surveillance application system using WSN and IP webcam

Saha

Neogy

2014

2014 Applications and Innovations in Mobile Computing (AIMoC)

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Surveillance is becoming a need in any public or private area to cope up with increasing number of threats starting from burglary, robbery to terrorist activities. The traditional methods for monitoring are commonly confined in the use of CCTV cameras or wireless sensor network (WSN). These two techniques serve the purpose in different ways. CCTV cameras help in visual monitoring of target area whereas WSN helps in acquiring physical information from the environment, like change in thermal, chemical, magnetic conditions. In this paper we incorporate advantages of both technologies to build up a smart surveillance system. We have proposed a centralized computer based application that identifies movement of human beings in target area and keep the visual evidence of the movement with the help of the camera. This is an event based system, thus, substitutes the need for continuous monitoring of the area. A prototype application is deployed in university laboratory room to evaluate some preliminary functionalities of the application.

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Section: Related Workmentioning

confidence: 99%

A case study on smart surveillance application system using WSN and IP webcam

Saha

Neogy

2014

2014 Applications and Innovations in Mobile Computing (AIMoC)

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“…In addition, Kalman filter is adopted to improve the tracking accuracy. To achieve higher accuracy, reference [9] combines PIR monitoring system with RF localization module to get the target position at a mean square error of less than 1m. Paper [20] proposes an infrared object localization and tracking system using wireless pyroelectric sensor netwroks.…”

Section: Related Workmentioning

confidence: 99%

“…These applications mentioned above [1,2,[5][6][7][8][9][10][11][12][13][14] have illustrated how the research with regard to PIR goes deeply. However, all of these systems have placed PIR detector in an indoor environment less than 10m×10m.…”

Section: Related Workmentioning

confidence: 99%

Target Classification Using Pyroelectric Infrared Sensors in Unattended Wild Ground Environment

Xie

Liu

et al. 2013

International Journal on Smart Sensing and Intelligent Systems

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“…Hybrid positioning techniques are a popular research topic in WSN, due to devices combining a radio interface along with sensing capabilities. Data is gathered from several sensors and fused with RSS positioning techniques in order to improve accuracy [16]- [18]. There are three methods in which RSS can be used to infer location: using RSS as a measure of proximity [19], [20]; using propagation models which translate RSS to distance [21], [22]; or by creating a RSS map from multiple base stations or access points [23]- [25].…”

Section: Introductionmentioning

confidence: 99%

Body Attenuation and Path Loss Exponent Estimation for RSS-Based Positioning in WSN

Silva

Afonso

Rocha

2016

Wireless Pers Commun

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The internet of things (IoT) is a vision consisting of a world where a large number of common objects used in a daily basis are imbued with computational and communication capabilities, efficiently automating innumerous tasks [1]. This vision is closely related to the ubiquitous computing vision from Mark Weiser, in which "technologies disappear into the background", facilitating daily tasks [2]. There are several institutions working in order to achieve this vision, not only in the form of standards creation and improvement, but also in the interaction between different standards, so a global network augmented by these objects can be realized [3]. Sensor networks have a central role in this ubiquitous computing vision, since they provide the connection to the real world through sensors and actuators. A plethora of different sensors can be applied to the most diverse scenarios and the information generated by these sensors can be used to achieve higher understanding or process efficiency. The terms IoT and ubiquitous computing, along with other terms such as ambient intelligence, pervasive computing and smart objects are related and sometimes used interchangeably in literature. A common feature shared between these visions, directly related to the data sensed from these smart objects, is the location from where the data is collected. Positioning technology is a key enabler for the ubiquitous computing vision due to the application opportunities that arise with the knowledge of the position of the user or device. In this work, the focus is on positioning capabilities in wireless sensor networks (WSN) applied to indoor environment, which is a major component of the ubiquitous computing vision. WSN nodes are sensing capable devices composed by a microcontroller and a wireless transceiver. WSN constraints nowadays relate to device cost, energy and computational capabilities, the latter of which trades-off with higher battery recharge frequencies. Positioning in WSN can be accomplished by using optical, acoustic or radio frequency (RF) technologies, to produce range, angle or pattern information. Using one of these measurements, or a combination of them, the location of a device can be computed. Ultrawideband (UWB) is a technology that enables ranging capabilities between devices and allows the detection of multipath components of transmitted signals by using large channel bandwidths. This technology holds the key to solve indoor positioning systems due to its sub-meter ranging accuracy. Yet, due to the existence of two versions of UWB standard competing among each other, a pulsed version and a frequency division version, standard acceptance has been very slow. Furthermore, the ranging capability feature is optional, not obligating manufacturers to implement it in order to comply with the standard. Due to the slow standard acceptance, there isn't yet a mass market in place, which in turn affects device cost for currently available off-the-shelf components. The inclusion of UWB in IEEE 802.15.4 standard [4] as a low po...

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Indoor human monitoring system using wireless and pyroelectric sensory fusion system

Cited by 12 publications

References 16 publications

A case study on smart surveillance application system using WSN and IP webcam

A case study on smart surveillance application system using WSN and IP webcam

Target Classification Using Pyroelectric Infrared Sensors in Unattended Wild Ground Environment

Body Attenuation and Path Loss Exponent Estimation for RSS-Based Positioning in WSN

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