TrackMe - a low power location tracking system using smart phone sensors

Saha, Santanu; Chatterjee, Samrat; Gupta, Amit; Bhattacharya, Indrajit; Mondal, Tamal

doi:10.1109/coconet.2015.7411226

Cited by 12 publications

(5 citation statements)

References 6 publications

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“…We believe that any device fingerprinting displays different latent features when they are in various states. As a similar result [3], Subhanjan Saha et al, proposed a low power and low cost fast location tracking system for a smart phone device that is effective in tracking continuous locations of a moving device with very good accuracy. And in their work, authors analyzed that while a person is walking or running with a smart phone, a certain amount of vibration is generated.…”

Section: Introductionmentioning

confidence: 83%

Convolutional Neural Networks for Special State Identification Based on Transient Signal

Ding¹,

Li²,

Wu³

2017

dtetr

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Abstract. Most exiting algorithm focused on the specific emitter identification, neglected the state identification of emitter. However, using the fingerprinting to identify and estimate the user behavior is useful in many legitimate scenes.While the emitter is moving or shaking, a certain amount of vibrations are generated, which can be investigated as the basis of state identification. However, the subtle vibrations are difficult to capture. In this paper, we propose a novel state analysis technique to identify the state of emitter based on transient signal. The transient signal from the target emitters contains import special information. In order to find the subtle difference, 1-D convolution neural networks (CNNs) is introduced to extract the latent features adaptively. Experimental results have shown that our method can work for specific state identification.

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Section: Introductionmentioning

confidence: 83%

Convolutional Neural Networks for Special State Identification Based on Transient Signal

Ding¹,

Li²,

Wu³

2017

dtetr

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“…The article by Saha S et al 2015 [13], discussed the battery life toll of GPS tracking on mobile devices and proposes a low-power and low-cost location tracking system that utilizes the accelerometer, magnetometer, and gyroscope sensors in a smartphone to track continuous locations of a mobile device with good accuracy. The system was tested on both indoor and outdoor locations and has generated an accuracy level of as low as 2 meters distance.…”

Section: Literature Reviewmentioning

confidence: 99%

Vehicle tracking system using working sensors of a partially functional android mobile phone

Verma¹,

Singh²,

Mridula³

2023

World J. Adv. Eng. Technol. Sci.

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Vehicle tracking has found its applications in a variety of domains. Most of the currently available vehicles tracking systems are based upon using some expensive tracking units that employ only GPS signals to determine position and have very high monthly subscription charges from their service providers. To reduce the cost for such applications, this paper proposes the use of a partially damaged or low-cost android device with GSM capability and some other useful working sensors to periodically report the location and then display and monitor the determined location set on a remote digital map. This device can be integrated with a vehicle and made to boot up and start tracking automatically as soon as the vehicle’s ignition is turned on and stop tracking and shutdown automatically after the vehicle’s ignition is turned off. These devices may find application in fleet management, public transport systems, etc. as discussed inside this paper.

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“…With the advances in computer and internet network technology, it is possible for us to connect other equipment to the internet, so that the equipment can be monitored and controlled remotely [5,6]. This process of internet-based remote control is now better known as the Internet of Things (IoT), meaning a process that utilizes electronic equipment connected to an internet network [7].…”

Section: Iot and Location Trackingmentioning

confidence: 99%

Child Location Tracker with Virtual Fence

2020

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With widespread news of child abductions circulating in the media, child abduction is one of the anxieties felt by parents, especially those who have small children. Many ways have been tried to overcome this risk, ranging from restricting children from leaving the home alone to schools building fences around the school so students cannot leave the school grounds and not giving people the opportunity to enter a school without a clear purpose. With the development of information technology and the increasing availability of communication devices, such as the smartphones that are owned by so many children, these devices can be used to track the whereabouts of children so they can be easily monitored by their parents wherever they may be. By adding an application to the device, a boundary area can be made within which a child can safely be active, such as the school grounds. After children enter the school area in possession of this application, a message will automatically be sent to parents and teachers if the child and the device unexpectedly leave the school area so immediate action can be taken.

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TrackMe - a low power location tracking system using smart phone sensors

Cited by 12 publications

References 6 publications

Convolutional Neural Networks for Special State Identification Based on Transient Signal

Convolutional Neural Networks for Special State Identification Based on Transient Signal

Vehicle tracking system using working sensors of a partially functional android mobile phone

Child Location Tracker with Virtual Fence

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