Vehicle Recognition Via Sensor Data from Smart Devices

Tanmoy Sarkar Pias; David Eisenberg; Muhammad Aminul Islam

doi:10.1109/ECICE47484.2019.8942799

Vehicle Recognition Via Sensor Data from Smart Devices

Tanmoy Sarkar Pias
, David Eisenberg
, Muhammad Aminul Islam

Information Management and Business Analytics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

This study explored the activity of moving vehicle and public transportation, as a next stage of smart device use, and its evolution with data science. Smart devices have been enabled to help people carry out their daily activities. Some smart device operating systems have special apps to make it easy for users to record information about walking, running, jogging, and stepping through the Activity Recognition process, even recording physiological information. Advanced smart devices can now be used to record information about moving vehicles, as it has begun by enabling paid advertising on personal motor vehicles. However, with advancements in smart device technology, as analyzed and proposed by this paper, people will be able to utilize this technology with new data science methods to analyze far more information related to moving vehicles and public transportation. In this paper, we have proposed a method to recognize the vehicle that the subject is currently using by recorded accelerometer and gyroscope sensor data embedded in a smart device. In other words, we have implemented a machine learning model Artificial Neural Network to classify vehicles from the sensor data.

Original language	English
Title of host publication	2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019
Editors	Teen-Hang Meen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	96-99
Number of pages	4
ISBN (Electronic)	9781728125015
DOIs	https://doi.org/10.1109/ECICE47484.2019.8942799
State	Published - Oct 2019
Event	2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019 - Yunlin, Taiwan, Province of China Duration: 3 Oct 2019 → 6 Oct 2019

Publication series

Name	2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019

Conference

Conference	2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019
Country/Territory	Taiwan, Province of China
City	Yunlin
Period	3/10/19 → 6/10/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

ANN
HAR
machine learning
Sensor

Access to Document

10.1109/ECICE47484.2019.8942799

Cite this

Pias, T. S., Eisenberg, D., & Islam, M. A. (2019). Vehicle Recognition Via Sensor Data from Smart Devices. In T.-H. Meen (Ed.), 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019 (pp. 96-99). Article 8942799 (2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECICE47484.2019.8942799

Pias, Tanmoy Sarkar ; Eisenberg, David ; Islam, Muhammad Aminul. / Vehicle Recognition Via Sensor Data from Smart Devices. 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019. editor / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 96-99 (2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019).

@inproceedings{e8fa0c6805614bab88d26f15d8156307,

title = "Vehicle Recognition Via Sensor Data from Smart Devices",

abstract = "This study explored the activity of moving vehicle and public transportation, as a next stage of smart device use, and its evolution with data science. Smart devices have been enabled to help people carry out their daily activities. Some smart device operating systems have special apps to make it easy for users to record information about walking, running, jogging, and stepping through the Activity Recognition process, even recording physiological information. Advanced smart devices can now be used to record information about moving vehicles, as it has begun by enabling paid advertising on personal motor vehicles. However, with advancements in smart device technology, as analyzed and proposed by this paper, people will be able to utilize this technology with new data science methods to analyze far more information related to moving vehicles and public transportation. In this paper, we have proposed a method to recognize the vehicle that the subject is currently using by recorded accelerometer and gyroscope sensor data embedded in a smart device. In other words, we have implemented a machine learning model Artificial Neural Network to classify vehicles from the sensor data.",

keywords = "ANN, HAR, machine learning, Sensor",

author = "Pias, \{Tanmoy Sarkar\} and David Eisenberg and Islam, \{Muhammad Aminul\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019 ; Conference date: 03-10-2019 Through 06-10-2019",

year = "2019",

month = oct,

doi = "10.1109/ECICE47484.2019.8942799",

language = "English",

series = "2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "96--99",

editor = "Teen-Hang Meen",

booktitle = "2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019",

}

Pias, TS, Eisenberg, D & Islam, MA 2019, Vehicle Recognition Via Sensor Data from Smart Devices. in T-H Meen (ed.), 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019., 8942799, 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019, Institute of Electrical and Electronics Engineers Inc., pp. 96-99, 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019, Yunlin, Taiwan, Province of China, 3/10/19. https://doi.org/10.1109/ECICE47484.2019.8942799

Vehicle Recognition Via Sensor Data from Smart Devices. / Pias, Tanmoy Sarkar; Eisenberg, David; Islam, Muhammad Aminul.
2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019. ed. / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2019. p. 96-99 8942799 (2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Vehicle Recognition Via Sensor Data from Smart Devices

AU - Pias, Tanmoy Sarkar

AU - Eisenberg, David

AU - Islam, Muhammad Aminul

PY - 2019/10

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N2 - This study explored the activity of moving vehicle and public transportation, as a next stage of smart device use, and its evolution with data science. Smart devices have been enabled to help people carry out their daily activities. Some smart device operating systems have special apps to make it easy for users to record information about walking, running, jogging, and stepping through the Activity Recognition process, even recording physiological information. Advanced smart devices can now be used to record information about moving vehicles, as it has begun by enabling paid advertising on personal motor vehicles. However, with advancements in smart device technology, as analyzed and proposed by this paper, people will be able to utilize this technology with new data science methods to analyze far more information related to moving vehicles and public transportation. In this paper, we have proposed a method to recognize the vehicle that the subject is currently using by recorded accelerometer and gyroscope sensor data embedded in a smart device. In other words, we have implemented a machine learning model Artificial Neural Network to classify vehicles from the sensor data.

AB - This study explored the activity of moving vehicle and public transportation, as a next stage of smart device use, and its evolution with data science. Smart devices have been enabled to help people carry out their daily activities. Some smart device operating systems have special apps to make it easy for users to record information about walking, running, jogging, and stepping through the Activity Recognition process, even recording physiological information. Advanced smart devices can now be used to record information about moving vehicles, as it has begun by enabling paid advertising on personal motor vehicles. However, with advancements in smart device technology, as analyzed and proposed by this paper, people will be able to utilize this technology with new data science methods to analyze far more information related to moving vehicles and public transportation. In this paper, we have proposed a method to recognize the vehicle that the subject is currently using by recorded accelerometer and gyroscope sensor data embedded in a smart device. In other words, we have implemented a machine learning model Artificial Neural Network to classify vehicles from the sensor data.

KW - ANN

KW - HAR

KW - machine learning

KW - Sensor

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DO - 10.1109/ECICE47484.2019.8942799

M3 - Conference contribution

AN - SCOPUS:85078021034

T3 - 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019

SP - 96

EP - 99

BT - 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019

A2 - Meen, Teen-Hang

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019

Y2 - 3 October 2019 through 6 October 2019

ER -

Pias TS, Eisenberg D, Islam MA. Vehicle Recognition Via Sensor Data from Smart Devices. In Meen TH, editor, 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 96-99. 8942799. (2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019). doi: 10.1109/ECICE47484.2019.8942799

Vehicle Recognition Via Sensor Data from Smart Devices

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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