Mobile user tracking system with ZigBee

Stȩpień, Joanna; Kołodziej, Jacek; Machowski, W.

doi:10.1016/j.micpro.2016.02.007

Cited by 11 publications

(8 citation statements)

References 16 publications

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“…Concentrating particularly on personnel localization, quite a few examples can be looked upon in literature, but the number of implemented solutions is almost zero. Some of the WSN based Location Tracking Systems which have been designed so far include Bagadus [16], CenWits [17], Mobile user tracking system with Zigbee [18] and AeroScout. Bagadus combine the use of camera array video capture and ZXY sport tracking system so as to get the statistics of the footballers.…”

Section: Related Workmentioning

confidence: 99%

“…The information is also obtained from witnesses who give details about the movement of the subject of interest. [18] Provides the monitoring of groups visiting the historical buildings such as art galleries, museums, etc., allowing the automatic detection of individuals in various rooms of the historical buildings. This is achieved by using 4 types of Zigbee nodes working in coordination with each other viz.…”

Section: Related Workmentioning

confidence: 99%

“…The complexity of CenWits is also far higher than the system which we have proposed. Again, [18] services the need of historical buildings which require controlled entry to a particular room. It is meant for identifying the presence of groups inside rooms so as not to allow any more groups in that room and therefore cannot identify single individuals like PPLS.…”

Section: Critical Analysismentioning

confidence: 99%

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PPLS: Personnel Presence Locator System – An Amalgam of RF Ranging & Zigbee in WSN

Zahra¹,

Ahmad²

2018

IJWMT

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In this day and age of occupied time plans, individuals are confronting numerous issues in following the employees and specialists in colleges, schools, universities, doctor's facilities and so forth, hence it ends up vital that each assignment is expert intelligently, productively and in an auspicious way. To achieve this, easy accessibility of people of interest is a must. To alleviate this problem, we propose a solution called "Personnel Presence Locator System (PPLS)" that is an internetworked amalgam of small systems working independently. Moreover, in this article, we give an overview of the naturally multidisciplinary writing of human-detection, concentrating essentially on the extraction of five regularly required properties: in particular Location, Count, Presence, Track, and Identity. The objective of this work is to uncover the abilities and constraints of existing solutions from different disciplines, to manage the production of new frameworks like PPLS and point toward future research bearings.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Critical Analysismentioning

confidence: 99%

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PPLS: Personnel Presence Locator System – An Amalgam of RF Ranging & Zigbee in WSN

Zahra¹,

Ahmad²

2018

IJWMT

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“…Additionally, the prototype for a location tracking system had been designed and implemented [20]. Moreover, there have been other technologies used to implement smart services, such as iBeacon [21], location based services [22], and ZigBee [23].…”

Section: Mobile Information Systemsmentioning

confidence: 99%

“…In current smart services research, some research is at the prototype stage [21,23], and some research has reached the implementation phase. Meanwhile, smart services involve many fields, such as health, life, and travel.…”

Section: Mobile Information Systemsmentioning

confidence: 99%

Design and Evaluation of Smart Mobile Services for Cross-Channel Shopping

Liao

Zhou

Huang

et al. 2016

Mobile Information Systems

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This study explores the potential of smart mobile services to enhance online and offline shopping. Three prototypes were designed and implemented on smart phones and smart watches. Thirty young adults participated in the experiment to evaluate these prototypes. The results indicate that satisfaction with smart services is influenced by characteristics such as innovativeness, current shopping behavior, and design of prototypes. Positive feedback was generally given towards smart mobile services, but there were mixed attitudes towards key features. First, participants with a utilitarian motivation liked the indoor navigation feature, but those with a hedonic motivation enjoyed exploration. Second, in the area of big data, participants wanted more control over recommendations and more protection of privacy. Third, participants wanted to make mobile payments but were concerned about security. Finally, developers of new technology for smart mobile services should consider practicability.

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