Device free localization technology for human detection and counting with RF sensor networks: A review

Shukri, S.; Kamarudin, Latifah Munirah

doi:10.1016/j.jnca.2017.08.014

Cited by 37 publications

(22 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some IPS-related reviews have over 200 references [16,17,18,19,20,21] or even over 300 references [22]. The insights presented in the rest of this paper are mainly based on 62 IPS-related survey works [6,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,…”

Section: An Overview Of Ips Solutionsmentioning

confidence: 99%

“…The importance of the device-based vs device-free division is supported by the fact that one of the driven forces for the growth of LBS is the widespread usage of smartphones. Some surveys explicitly focus on IPS solutions applicable to smartphones [41,48] and others on device-free positioning [53,55]. The distinction on whether an IPS is applicable to smartphones or not is necessary given that even modern smartphones have a limited number of sensory capabilities.…”

Section: An Overview Of Ips Solutionsmentioning

confidence: 99%

See 1 more Smart Citation

A Meta-Review of Indoor Positioning Systems

Mendoza-Silva

Torres-Sospedra

Huerta

2019

Sensors

205

130

View full text Add to dashboard Cite

An accurate and reliable Indoor Positioning System (IPS) applicable to most indoor scenarios has been sought for many years. The number of technologies, techniques, and approaches in general used in IPS proposals is remarkable. Such diversity, coupled with the lack of strict and verifiable evaluations, leads to difficulties for appreciating the true value of most proposals. This paper provides a meta-review that performed a comprehensive compilation of 62 survey papers in the area of indoor positioning. The paper provides the reader with an introduction to IPS and the different technologies, techniques, and some methods commonly employed. The introduction is supported by consensus found in the selected surveys and referenced using them. Thus, the meta-review allows the reader to inspect the IPS current state at a glance and serve as a guide for the reader to easily find further details on each technology used in IPS. The analyses of the meta-review contributed with insights on the abundance and academic significance of published IPS proposals using the criterion of the number of citations. Moreover, 75 works are identified as relevant works in the research topic from a selection of about 4000 works cited in the analyzed surveys.

show abstract

Section: An Overview Of Ips Solutionsmentioning

confidence: 99%

Section: An Overview Of Ips Solutionsmentioning

confidence: 99%

A Meta-Review of Indoor Positioning Systems

Mendoza-Silva

Torres-Sospedra

Huerta

2019

Sensors

205

130

View full text Add to dashboard Cite

show abstract

“…This approach is based on the fact that the human body absorbs and thereby weakens a radio signal between sender and receiver, which can be measured in terms of the received signal strength (RSS). Within wireless sensor networks, which are considered an enabling technology for IoT [52], radio tomographic imaging can be used for indoor localization [10] and even multi-target tracking [45] without requiring any additional hardware. Radar sensors have also been proposed for the purpose of indoor localization.…”

Section: Indoor Localization and Occupancy Monitoringmentioning

confidence: 99%

Unexpected Inferences from Sensor Data: A Hidden Privacy Threat in the Internet of Things

Kröger

2019

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

A growing number of sensors, embedded in wearables, smart electric meters and other connected devices, is surrounding us and reaching ever deeper into our private lives. While some sensors are commonly regarded as privacysensitive and always require user permission to be activated, others are less protected and less worried about. However, experimental research findings indicate that many seemingly innocuous sensors can be exploited to infer highly sensitive information about people in their vicinity. This paper reviews existing evidence from the literature and discusses potential implications for consumer privacy. Specifically, the analysis reveals that certain insufficiently protected sensors in smart devices allow inferences about users' locations, activities and real identities, as well as about their keyboard and touchscreen inputs. The presented findings call into question the adequacy of current sensor access policies. It is argued that most data captured by smart consumer devices should be classified as highly sensitive by default. An introductory overview of sensors commonly found in these devices is also provided, along with a proposed classification scheme.

show abstract

“…DFL exploits the potential of ubiquitous deployed Internet of Things (IoT) [53] devices for indoor localization by leveraging the RF fluctuations as an indicator of presence of obstruction, i.e., object or human body. In [54], we have briefly defined the concept of DFL technology in the context of human detection and counting, together with the comprehensive review on the publications related to DFL research.…”

Section: Rf-based Dfl Technologymentioning

confidence: 99%

Device-Free Localization for Human Activity Monitoring

Shukri¹,

Kamarudin²,

Rahiman³

2019

Intelligent Video Surveillance

Self Cite

View full text Add to dashboard Cite

Over the past few decades, human activity monitoring has grabbed considerable research attentions due to greater demand for human-centric applications in healthcare and assisted living. For instance, human activity monitoring can be adopted in smart building system to improve the building management as well as the quality of life, especially for the elderly people who are facing health deterioration due to aging factor, without neglecting the important aspects such as safety and energy consumption. The existing human monitoring technology requires additional sensors, such as GPS, PIR sensors, video camera, etc., which incur cost and have several drawbacks. There exist various solutions of using other technologies for human activity monitoring in a smartly controlled environment, either deviceassisted or device-free. A radio frequency (RF)-based device-free indoor localization, known as device-free localization (DFL), has attracted a lot of research effort in recent years due its simplicity, low cost, and compatibility with the existing hardware equipped with RF interface. This chapter introduces the potential of RF signals, commonly adopted for wireless communications, as sensing tools for DFL system in human activity monitoring. DFL is based on the concept of radio irregularity where human existence in wireless communication field may interfere and change the wireless characteristics.

show abstract

Device free localization technology for human detection and counting with RF sensor networks: A review

Cited by 37 publications

References 53 publications

A Meta-Review of Indoor Positioning Systems

A Meta-Review of Indoor Positioning Systems

Unexpected Inferences from Sensor Data: A Hidden Privacy Threat in the Internet of Things

Device-Free Localization for Human Activity Monitoring

Contact Info

Product

Resources

About