NDLI: Pedestrian walking safety system based on smartphone built-in sensors

Content Provider	IET Digital Library
Author	Li, Yantao Xue, Fengtao Fan, Xinqi Qu, Zehui Zhou, Gang
Abstract	People watching smartphones while walking causes a significant impact to their safety. Pedestrians staring at smartphone screens while walking along the sidewalk are generally more at risk than other pedestrians not engaged in smartphone usage. In this study, the authors propose Safe Walking, an Android smartphone-based system that detects the walking behaviour of pedestrians by leveraging the sensors and front camera on smartphones, improving the safety of pedestrians staring at smartphone screens. More specifically, Safe Walking first exploits a pedestrian speed calculation algorithm by sampling acceleration data via the accelerometer and calculating gravity components via the gravity sensor. Then, this system utilises a greyscale image detection algorithm to detect the face and eye movement modes based on OpenCV4Android to determine if pedestrians are staring at the screens. Finally, Safe Walking generates a vibration by a vibrator on smartphones to alert pedestrians to pay attention to road conditions. The authors implemented Safe Walking on an Android smartphone and evaluated pedestrian walking speed, the accuracy of eye movement, and system performance. The results show that Safe Walking can prevent the potential danger for pedestrians staring at smartphone screens with a true positive rate of 91 % .
Starting Page	751
Ending Page	758
Page Count	8
ISSN	17518628
Volume Number	12
e-ISSN	17518636
Issue Number	Issue 6, Apr (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/12/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2017.0502
Journal	IET Communications
Publisher Date	2018-01-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acceleration Acceleration Data Accelerometer Android (operating System) Android Smartphone-based System Computer Vision And Image Processing Technique Gravity Component Greyscale Image Detection Algorithm Object Detection OpenCV4Android Optical, Image And Video Signal Processing Pedestrian Pedestrian Speed Calculation Algorithm Pedestrian Walking Safety System Pervasive Computing Rotation Measurement Safety Sensing Device And Transducers Smart Phones Smartphone Built-in Sonsor Smartphone Screens Smartphone Usage Traffic Engineering Computing Ubiquitous Velocity Walking Behaviour
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Fast pedestrian detection and dynamic tracking for intelligent vehicles within V2V cooperative environment

Diagnosis of transportation modes on mobile phone using logistic regression classification

Multiuser motion recognition system using smartphone LED luminescence

How many times do young drivers actually touch their smartphone screens while driving?

Analysis of Bayesian classification-based approaches for Android malware detection

Design of smart neonatal health monitoring system using SMCC

Impact of the road network configuration on map-matching algorithms for FCD in urban environments

Unsupervised posture detection by smartphone accelerometer

Smartphone-based fatigue detection system using progressive locating method

Pedestrian walking safety system based on smartphone built-in sensors

Similar Documents

Fast pedestrian detection and dynamic tracking for intelligent vehicles within V2V cooperative environment

Diagnosis of transportation modes on mobile phone using logistic regression classification

Multiuser motion recognition system using smartphone LED luminescence

How many times do young drivers actually touch their smartphone screens while driving?

Analysis of Bayesian classification-based approaches for Android malware detection

Design of smart neonatal health monitoring system using SMCC

Impact of the road network configuration on map-matching algorithms for FCD in urban environments

Unsupervised posture detection by smartphone accelerometer

Smartphone-based fatigue detection system using progressive locating method

Pedestrian walking safety system based on smartphone built-in sensors