A Novel Design of a Multi-DOF Mobile Robotic Helping Hand for Paralyzed Patients

Dutta, Nixon; Saha, Joyeta; Sarker, Faysal; Zaman, Hasan U.

doi:10.1109/icacci.2018.8554423

Cited by 11 publications

(5 citation statements)

References 3 publications

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“…In order to illustrate the movement of the servo motors in the proteus software, this paper incorporates static hand movements that are recorded by the camera. The hand gesture image, when obtained from is pre-processed by color image processing, filters processing, and contour image processing, and morphological operation perfromed in order to describe the gesture [4]. The camera is an input sensor that is activated by the MATLAB programme, which then processes the image that records and recognises the gesture in picture format, then determines which command should be shown in the output.…”

Section: Methodsmentioning

confidence: 99%

“…An algorithm was written for the robot to encode and recognize the hand gestures information. Dutta N et al [4] focuses, on the hand gloves that can be used for paralyzed patients that can control a multi degree of freedom bot with manipulator for various operations. This consists of accelerometer, flex sensors, aurduino uno on the glove and on the manipulator.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Mobile robots can move with response to hand gestures that offer control signals. Human-Computer-Interaction (HCI) and research to construct easy-to-use interfaces by directly leveraging natural communication have received a lot of attention recently and manipulation skills of humans [3][4]. As the hand is an important part of body, therefore hand has given more and more attention.…”

Section: Introductionmentioning

confidence: 99%

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Gesture Controlled Mobile Robot with the Collaboration of MATLAB and PROTEUS

Revoo

Giri

Anand

2022

Advances in Transdisciplinary Engineering

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Gesture recognition is a type of technology that can be used to control robots, manipulators, and other devices. Human-Computer Interaction (HCI) and research into creating simple-to-use interfaces by utilising natural communication have gotten a lot of press recently, as have human manipulation skills. When using gesture recognition, the user who is making the gesture is not necessary to wear any equipment or gadgets on their body. A camera linked to a device reads the body’s gestures and produces an output. The major purpose of this paper is to use MATLAB to control motor direction in proteus while also combining both software with VSPE (visual serial port emulator). Before immediately implementing this method on a robot, we can first simulate the outcomes to improve accuracy or correct models.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Gesture Controlled Mobile Robot with the Collaboration of MATLAB and PROTEUS

Revoo

Giri

Anand

2022

Advances in Transdisciplinary Engineering

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“…However, this model also has some drawbacks regarding data extraction from the foreground, background, and noisy channels [9]. Lastly, a hybrid approach is the combination of both sensor-based and vision-based models [10]. This approach can normally be used for experimental setups, though the cost of these prototypes is very much high and the prototype models are very much complex.…”

Section: Introductionmentioning

confidence: 99%

Assistive Data Glove for Isolated Static Postures Recognition in American Sign Language Using Neural Network

et al. 2023

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Sign language recognition is one of the most challenging tasks of today’s era. Most of the researchers working in this domain have focused on different types of implementations for sign recognition. These implementations require the development of smart prototypes for capturing and classifying sign gestures. Keeping in mind the aspects of prototype design, sensor-based, vision-based, and hybrid approach-based prototypes have been designed. The authors in this paper have designed sensor-based assistive gloves to capture signs for the alphabet and digits. These signs are a small but important fraction of the ASL dictionary since they play an essential role in fingerspelling, which is a universal signed linguistic strategy for expressing personal names, technical terms, gaps in the lexicon, and emphasis. A scaled conjugate gradient-based back propagation algorithm is used to train a fully-connected neural network on a self-collected dataset of isolated static postures of digits, alphabetic, and alphanumeric characters. The authors also analyzed the impact of activation functions on the performance of neural networks. Successful implementation of the recognition network produced promising results for this small dataset of static gestures of digits, alphabetic, and alphanumeric characters.

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“…The humanoid multi-finger dexterous hand can be used as an end effector in the industrial field, can also be used as a prosthetic limb for the disabled, and can also be used in the dangerous areas of space, deep sea, nuclear power plants, etc. to achieve precise operation, which has important social application value [2][3].…”

Section: Introductionmentioning

confidence: 99%

Master-Slave Design and Control of Five-Finger Dexterous Hand Based on Tendon-Sheath Transmission

Zhang¹,

Xu²,

Yin³

et al. 2021

dtmse

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In order to make the dexterous hand more lightweight and anthropomorphic, a 19-joint anthropomorphic dexterous hand driven by the servo through the Tendon-Sheath transmission was designed. First, the configuration of the dexterous hand is determined with reference to the joints of the human hand, and the decoupling and driving of the joint motion are realized through the Tendon-Sheath transmission, and the joint mechanism and the driving integration are designed respectively. Then, based on the bending sensor and master-slave mapping algorithm, the grasping master-slave tracking control is realized. Finally, a dexterous hand prototype is built, joint motion experiments and grab control experiments are carried out. It can be seen from the experimental results that the designed dexterous hand has high movement flexibility, and the cooperation of each finger can realize the effective grasping of objects such as water bottles and apples. The experimental results show that it is feasible to apply the Tendon-Sheath transmission to the dexterous hand. Based on the master-slave control, the dexterous hand can grasp various objects.

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A Novel Design of a Multi-DOF Mobile Robotic Helping Hand for Paralyzed Patients

Cited by 11 publications

References 3 publications

Gesture Controlled Mobile Robot with the Collaboration of MATLAB and PROTEUS

Gesture Controlled Mobile Robot with the Collaboration of MATLAB and PROTEUS

Assistive Data Glove for Isolated Static Postures Recognition in American Sign Language Using Neural Network

Master-Slave Design and Control of Five-Finger Dexterous Hand Based on Tendon-Sheath Transmission

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