A Multi-Modal Human Machine Interface for Controlling a Smart Wheelchair

Mahmud, Saifuddin; Lin, Xiangxu; Kim, Jong-Hoon; Iqbal, Hasib; Rahat-uz-Zaman, Md.; Reza, Sakib; Rahman, M Asifur

doi:10.1109/icspc47137.2019.9068027

Cited by 14 publications

(5 citation statements)

References 8 publications

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“…It is a simple, energy-efficient, much smarter, scalable, and interoperable way of tracking and optimizing care to any health problem. Nowadays, modern systems are providing a flexible interface [12], assistant devices [13], and mental health management [14] to lead a smart life for the human being.…”

Section: Introductionmentioning

confidence: 99%

Development of Smart Healthcare Monitoring System in IoT Environment

2020

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Healthcare monitoring system in hospitals and many other health centers has experienced significant growth, and portable healthcare monitoring systems with emerging technologies are becoming of great concern to many countries worldwide nowadays. The advent of Internet of Things (IoT) technologies facilitates the progress of healthcare from face-to-face consulting to telemedicine. This paper proposes a smart healthcare system in IoT environment that can monitor a patient's basic health signs as well as the room condition where the patients are now in real-time. In this system, five sensors are used to capture the data from hospital environment named heart beat sensor, body temperature sensor, room temperature sensor, CO sensor, and CO 2 sensor. The error percentage of the developed scheme is within a certain limit (< 5%) for each case. The condition of the patients is conveyed via a portal to medical staff, where they can process and analyze the current situation of the patients. The developed prototype is well suited for healthcare monitoring that is proved by the effectiveness of the system.

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Section: Introductionmentioning

confidence: 99%

Development of Smart Healthcare Monitoring System in IoT Environment

2020

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“…Gomes et al [7] used similar components for the wheelchair prototype, with the difference of laser sensors which have a better accuracy than ultrasonic sensors. Mahmud et al [9] used a raspberry pi unit for data processing and an Arduino Nano for hand movements processing. Finally, Kader et al [10] used another system for communication by means of SMS through GSM modem.…”

Section: Validation and Characterizationmentioning

confidence: 99%

“…Mahmud et al [9] developed a multi-modal human machine interface for the larger domain of people with disabilities to control the wheelchair. The interface comprises joystick, smart hand-glove, head movement tracker and eye tracker.…”

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confidence: 99%

Wheelchair prototype controlled by position, speed and orientation using head movement

2022

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“…Wheelchair controls are devices designed to allow people with mobility disabilities to operate the wheelchair independently and comfortably [1] [2]. These controls vary according to the individual needs of each person and can cover a wide range of options [3]. Several types of controls are used in wheelchairs, and selecting the appropriate control depends on the user's abilities and preferences [4].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Manual, Automatic, and Voice Control in Wheelchair NavigationSimulation in Virtual Environments: Performance Evaluation of User and MotionSickness.

Pedroza-Santiago,

Quiroz-Ibarra,

Bojorges-Valdez

et al. 2023

Preprint

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Mobility is a fundamental necessity for individuals with physical disabilities, and wheelchairs play a vital role in improving their quality of life. In recent decades, there has been a growing interest in designing and developing more advanced wheelchairs, particularly regarding control systems that enable users to interact effectively and efficiently with their chairs. Implementing different control systems in wheelchairs has been the subject of research and development to enhance user experience and overcome limitations associated with conventional controls. Virtual reality (VR) is a valuable tool for testing new technologies, ensuring user safety, and reducing development time. This article aims to present a comparative evaluation of various controls implemented in a simulated wheelchair, analyzing their effectiveness and ease of use through navigation in three different daily-life scenarios. Twenty participants(11 males and 9 females) received VR operation and controls training. Each participant completed three tests per control in each scenario. The results showed that participants performed better while navigating with autonomous and manual controls than with voice controls. However, participants experienced associated motion sickness during the interaction. Contrary to voice control, despite causing less motion sickness, the participants' performance shows that a high voice command recognition rate and reliability are mandatory to be a viable option. Our setup represents a useful experimental setup for future research and improvements in developing wheelchair control systems in virtual environments to cater to the individual needs and abilities of end-users in reality.

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A Multi-Modal Human Machine Interface for Controlling a Smart Wheelchair

Cited by 14 publications

References 8 publications

Development of Smart Healthcare Monitoring System in IoT Environment

Development of Smart Healthcare Monitoring System in IoT Environment

Wheelchair prototype controlled by position, speed and orientation using head movement

Comparison of Manual, Automatic, and Voice Control in Wheelchair NavigationSimulation in Virtual Environments: Performance Evaluation of User and MotionSickness.

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