Smart Wheelchair for Physically Challenged People

被引：0

作者：

Baiju, Petson Varghese ^{[1
]}

Varghese, Kevin ^{[1
]}

Alapatt, Jacob Mathew ^{[1
]}

Joju, Sanjo Jame ^{[1
]}

Sagayam, K. Martin ^{[1
]}

机构：

[1] Karunya Inst Technol & Sci, Elect & Commun Dept, Coimbatore, Tamil Nadu, India

来源：

2020 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS) | 2020年

关键词：

autonomous wheelchair; machine learning; object detection;

D O I：

10.1109/icaccs48705.2020.9074188

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

According to the World Health Organization (WHO), in the world population, there around 70 million people who requires the need for wheelchairs, yet only 5-15% have access to it. The wheelchair we developed here is very cost effective and aids the people who are disabled and physically challenged. The wheelchair allows them to maneuver around their surrounding with ease without the intervention of another person, allowing them to be independent.

引用

页码：828 / 831

页数：4

共 38 条

[21] Analysis of Smart Walking Sticks for Visually Impaired People [J].

Marappan, Raja ;

Mhapankar, Siddhant .

NATIONAL ACADEMY SCIENCE LETTERS-INDIA, 2025,

[22] Smart Assistive Navigation Devices for Visually Impaired People [J].

Pardasani, Arjun ;

Indi, Prithviraj N. ;

Banerjee, Sashwata ;

Kamal, Aditya ;

Garg, Vaibhav .

2019 IEEE 4TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS 2019), 2019, :725-729

[23] Comparative Analysis of Full Training Set and Cross-Validation for Machine Learning Approach to Run Smart Wheelchair [J].

Badajena, Jenamani Chandrakanta ;

Sethi, Srinivas ;

Sahoo, Ramesh Kumar .

INTELLIGENT SYSTEMS AND APPLICATIONS, ICISA 2022, 2023, 959 :121-132

[24] Recovering the sight to blind people in indoor environments with smart technologies [J].

Mekhalfi, Mohamed L. ;

Melgani, Farid ;

Zeggada, Abdallah ;

De Natale, Francesco G. B. ;

Salem, Mohammed A-M. ;

Khamis, Alaa .

EXPERT SYSTEMS WITH APPLICATIONS, 2016, 46 :129-138

[25] Data-driven approach to designing a BCI-integrated smart wheelchair through cost-benefit analysis [J].

Badajena, Jenamani Chandrakanta ;

Sethi, Srinivas ;

Sahoo, Ramesh Kumar .

HIGH-CONFIDENCE COMPUTING, 2023, 3 (02)

[26] Human Activity Recognition and People Count for a SMART Public Transportation System [J].

Alizadeh, Roya ;

Savaria, Yvon ;

Nerguizian, Chahe .

2021 IEEE 4TH 5G WORLD FORUM (5GWF 2021), 2021, :182-187

[27] Real-Time Obstacle Detection Using YOLOv8 on Raspberry Pi 4 for Visually Challenged People [J].

Upadhyaya, Bijoy Kumar ;

Pramanik, Pijush Kanti Dutta ;

Roy, Priyanka ;

Sen, Rituparna .

SMART TRENDS IN COMPUTING AND COMMUNICATIONS, VOL 1, SMARTCOM 2024, 2024, 945 :221-235

[28] Smart Shoes for Temporal Identification and Corrections to Assist People with Abnormal Walking Patterns [J].

Sudharshan, Johnson ;

Goodman, Garrett ;

Bourbakis, Nikolaos .

2020 IEEE 20TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE 2020), 2020, :929-933

[29] Development of intelligent model for personalized guidance on wheelchair tilt and recline usage for people with spinal cord injury: Methodology and preliminary report [J].

Fu, Jicheng ;

Jones, Maria ;

Jan, Yih-Kuen .

JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT, 2014, 51 (05) :775-787

[30] A Smart Surveillance System for People Counting and Tracking Using Particle Flow and Modified SOM [J].

Pervaiz, Mahwish ;

Ghadi, Yazeed Yasin ;

Gochoo, Munkhjargal ;

Jalal, Ahmad ;

Kamal, Shaharyar ;

Kim, Dong-Seong .

SUSTAINABILITY, 2021, 13 (10)

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