Voice and Gesture Controlled Wheelchair

Joseph, Cynthia; Aswin, S; Prasad, J Sanjeev

doi:10.1109/iccmc.2019.8819662

Cited by 11 publications

(4 citation statements)

References 9 publications

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“…Finally, the latest advances in sensoring and artificial intelligence are being used in speech recognition systems to explore alternative human-machine interaction emulating human capabilities [23]. Some practical examples of robotic perception subareas are obstacle detection [49,50] and (time for reconfiguration with sharp corner trajectory) Little sensitivity to floor condition recognition [51,52], semantic place [53,54], activity [55] and terrain classification [56], 3D environment representation [57], gesture and voice recognition [58,59], road [60], vehicle [61,62], pedestrian detection [63], object tracking [64], human [65] and environment change detection [66].…”

Section: Introductionmentioning

confidence: 99%

Wheeled Mobile Robots: State of the Art Overview and Kinematic Comparison Among Three Omnidirectional Locomotion Strategies

Tagliavini

Colucci

Botta

et al. 2022

J Intell Robot Syst

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In the last decades, mobile robotics has become a very interesting research topic in the field of robotics, mainly because of population ageing and the recent pandemic emergency caused by Covid-19. Against this context, the paper presents an overview on wheeled mobile robot (WMR), which have a central role in nowadays scenario. In particular, the paper describes the most commonly adopted locomotion strategies, perception systems, control architectures and navigation approaches. After having analyzed the state of the art, this paper focuses on the kinematics of three omnidirectional platforms: a four mecanum wheels robot (4WD), a three omni wheel platform (3WD) and a two swerve-drive system (2SWD). Through a dimensionless approach, these three platforms are compared to understand how their mobility is affected by the wheel speed limitations that are present in every practical application. This original comparison has not been already presented by the literature and it can be used to improve our understanding of the kinematics of these mobile robots and to guide the selection of the most appropriate locomotion system according to the specific application.

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Section: Introductionmentioning

confidence: 99%

Wheeled Mobile Robots: State of the Art Overview and Kinematic Comparison Among Three Omnidirectional Locomotion Strategies

Tagliavini

Colucci

Botta

et al. 2022

J Intell Robot Syst

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“…An incorrect speech command does not cause the wheelchair to respond. The Arduino controls the wheelchair direction based on voice and gesture commands [11].…”

Section: Literature Reviewmentioning

confidence: 99%

Voice Controlled Wheelchair for Physically Disabled People

2024

IJSREM

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As the time being, Technology is growing at a faster rate. Improvement in Technology makes the lives simple. everyone wants to live individually using the technology. However, this is deceptive for physically challenged persons. Majority of people with disabilities having trouble moving various body parts. The only solution is to depend on their family and friends to complete their day to day works. Even for moving from one place to other place the persons must use a wheelchair. For moving the wheelchair, the person should have enough strength in hands or requires other person to assist the wheelchair. The persons having disability are less communicating with the outside world which make them week and reluctant. The proposed machine is a wheelchair- manipulated gadget to help disabled human beings to turn out to be unbiased. The device uses a voice recognition unit which will take human voice as command and control the wheelchair movement based on the command. The device integrates Arduino, HC-05 Bluetooth module, speech-to-text voice recognition android utility, and motor driver through which the customers can perform the wheelchair with the aid of absolutely speaking to the wheelchair microphone. The wheelchair is designed at low cost in such a way that needy users will benefit from the machine. Key Words- voice recognition, HC-05 Bluetooth module, physically challenged persons.

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“…The movement for the patients that paralysed from upper to lower body will be extremely difficult for their daily routine. Some researchers develop smart wheelchair that recognize the voice and the body gesture to navigate the wheelchair [8,9]. The development of the self-navigated wheelchair also increases and mostly under development [10].…”

Section: Introductionmentioning

confidence: 99%

Speed estimation of the electric-powered wheelchair by proposing the state observer method based on experimental data

Sollehudin

Heerwan

2020

SN Appl. Sci.

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The percentage of people with disabilities (PWDs) kept increasing in each year, and the demanding usage of wheelchair is also increased. This leads to more innovation which will be focused on wheelchair such as electric-powered wheelchair (EPW) and autonomous wheelchair. The innovations of the wheelchair tend to aid the PWDs with their daily routines, and it seems more acceptable in the society. When the demand for EPW is increased, the numbers of accidents among the EPW might be increased. The objective of this study is to improve the safety system of EPW by estimating the velocity of EPW. From the velocity of EPW, the autonomous system can be embedded in the EPW in order to prevent the collision. The first phase of this study is to conduct the experiment to analyse the rotational speed of the tire during straight line and obstacle avoidance. Then, the simulation is developed to design the EPW and state observer for estimating the speed of EPW. In the modelling of EPW, the input is voltage and the output is the rotational speed of the tire. Then, the modelling is validated by comparing with the experimental results. The last phase of this study is to add the state observer in the modelling to estimate the speed of EPW. In the state observer, the experimental value from the rotational tire speed will be used as a reference and compared with the simulation. The error between the experimental and simulation value is known as estimation error, and the state observer will minimize the error to get the estimated data. By estimating the velocity of the EPW, the speed of the EPW during the cornering, obstacle avoidance and straight line could be known. The focus of this study is at first and second phases, which focus on experiments to measure the rotational speed of the tire and modelling the EPW. The results shows that the error between the experimental and simulation value is below 10%, and the modelling can be used for the state observer to estimate the speed of EPW.

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Voice and Gesture Controlled Wheelchair

Cited by 11 publications

References 9 publications

Wheeled Mobile Robots: State of the Art Overview and Kinematic Comparison Among Three Omnidirectional Locomotion Strategies

Wheeled Mobile Robots: State of the Art Overview and Kinematic Comparison Among Three Omnidirectional Locomotion Strategies

Voice Controlled Wheelchair for Physically Disabled People

Speed estimation of the electric-powered wheelchair by proposing the state observer method based on experimental data

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