Design of Hand Exoskeleton for Paralysis with Voice Pattern Recognition Control

2021 ◽  
Vol 50 ◽  
pp. 51-58
Author(s):  
T. Triwiyanto ◽  
Moch Prastawa Assalim Tetra Putra ◽  
Priyambada Cahya Nugraha ◽  
Bambang Guruh Irianto ◽  
Syaifudin ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Control System ◽  
Human Hand ◽  
Accuracy Rate ◽  
Push Button ◽  
Voice Command ◽  
Average Accuracy ◽  
Hand Exoskeleton ◽  
And Control ◽  
The Voice

The paralysis that occurs in the human limbs can be caused by strokes, injuries, age problems, and ligament damage. The purpose of this study is to design a hand exoskeleton as rehabilitation in patients who have had a stroke in hand. The contribution of this research is to design a hand exoskeleton with a control system to control mechanical movements using voice command so that it can be used by patients who have a stroke. To be used by patients who have a stroke, the researcher designed a control system using voice pattern recognition so that patients who have weak myoelectric signals can control the mechanics easily. This device uses the voice recognition module V3 as a voice command to control open and control close mechanical movements. This device is capable of recording and running commands directly by using the push button, which consists of a start, save, reset, open command record, and close command record. In the open command obtained an accuracy value of 97%, the close command obtained an accuracy value of 93%. The results showed that the voice commands given had an average accuracy rate of 95%. The results of this study can be implemented as a rehabilitation device for people who have had a stroke to try to mimic human hand movements.

scholarly journals Control of prosthetic hand by using mechanomyography signals based on support-vector machine classifier

2021 ◽  
Vol 23 (2) ◽  
pp. 1180
Author(s):  
Firas Saaduldeen Ahmed ◽  
Noha Abed-Al-Bary Al-jawady
Keyword(s):  
Pattern Recognition ◽  
Support Vector Machine ◽  
Wavelet Packet ◽  
Support Vector ◽  
Prosthetic Hand ◽  
Hand Gestures ◽  
Prosthetic Devices ◽  
Prosthetic Hands ◽  
Average Accuracy ◽  
And Control

<div>Prosthetic devices are necessary to help amputees achieve their daily activity in the natural way possible. The prosthetic hand has controlled by type of signals such as electromyography (EMG) and mechanomyography (MMG). The MMG signals have represented mechanical signals that generate during muscle contraction. These signals can be detected by accelerometers or microphones and any kind of sensors that can detect muscle vibrations. The contribution of the current paper is classifying hand gestures and control prosthetic hands depends on pattern recognition through accelerometer and microphone are to detect MMG signals. In addition to the cost of prosthetic hand less than other designs. Six subjects are involved. In this present work is the devices. In this study, two of them are amputee subjects. Each subject performs seven classes of movements. Pattern recognition (PR) is used to classify hand gestures. The wavelet packet transform (WPT) and root mean square (RMS) as features extracted from the signals and support vector machine (SVM) as a classifier. The average accuracy is 88.94% for offline tests and 84.45% for online tests. 3D printing technology is used in this study to build prosthetic hands.</div>

scholarly journals Mobile Robot Dengan Pengontrolan Perintah Suara Berbasis Android

2019 ◽  
Vol 9 (02) ◽  
pp. 9-14
Author(s):  
Eko Sulistyo
Keyword(s):  
Control System ◽  
Mobile Robot ◽  
Robot Control ◽  
Voice Command ◽  
Mobile Robot Control ◽  
Left And Right ◽  
The Voice ◽  
Voice Instruction ◽  
Bluetooth Communication ◽  
Robot Control System

Control of mobile robot manually using remote control connected with cable has constraints that limited space of robot movement. For that developed mobile robot control system using bluetooth communication. The purpose of this research is to create a mobile robot control system through wireless communication using voice command instruction via application on Android using microcontroller type Arduino Mega2560. The methodology in this research is the voice instruction will be recorded by the application on Android, then matched with the database and then converted into characters in the form of strings and sent via bluetooth transmitter on Android to bluetooth receiver on mobile robot to be executed by program made on microcontroller robot. The results obtained include mobile robot can move to follow voice command instruction that is given include command forward, backward, turn left and right only for one movement while in test result got error of movement equal to 1.55% with response time 4-7 second because the process of recording and translation of voice instructions on Android and also influenced by noise or other sounds that are not desired.

scholarly journals Concept, Design, Initial Tests and Prototype of Customized Upper Limb Prosthesis

2021 ◽  
Vol 11 (7) ◽  
pp. 3077
Author(s):  
Corina Radu (Frenț) ◽  
Maria Magdalena Roșu ◽  
Lucian Matei ◽  
Liviu Marian Ungureanu ◽  
Mihaiela Iliescu
Keyword(s):  
Control System ◽  
Upper Limb ◽  
Vertical Plane ◽  
Command And Control ◽  
Human Hand ◽  
Vector Method ◽  
Upper Limb Prosthesis ◽  
Geometric Precision ◽  
And Control ◽  
Command And Control System

This paper presents aspects of the concept and design of prostheses for the upper limb. The objective of this research is that of prototyping a customized prosthesis, with EMG signals that initiate the motion. The prosthesis’ fingers’ motions (as well as that of its hand and forearm parts) are driven by micro-motors, and assisted by the individualized command and control system. The software and hardware tandem concept of this mechatronic system enables complex motion (in the horizontal and vertical plane) with accurate trajectory and different set rules (gripping pressure, object temperature, acceleration towards the object). One important idea is regarding customization via reverse engineering techniques. Due to this, the dimensions and appearance (geometric characteristics) of the prosthesis would look like the human hand itself. The trajectories and motions of the fingers, thumbs, and joints have been studied by kinematic analysis with the matrix–vector method aided by Matlab. The concept and design of the mechanical parts allow for complex finger motion—rotational motion in two planes. The command and control system is embedded, and data received from the sensors are processed by a micro-controller for managing micro-motor control. Preliminary testing of the sensors and micro-motors on a small platform, Arduino, was performed. Prototyping of the mechanical components has been a challenge because of the high accuracy needed for the geometric precision of the parts. Several techniques of rapid prototyping were considered, but only DLP (digital light processing) proved to be the right one.

Development and control of a multifingered robotic hand using a pneumatic tendon-driven actuator

2011 ◽  
Vol 23 (3) ◽  
pp. 345-352 ◽  
Author(s):  
Jun-Ya Nagase ◽  
Norihiko Saga ◽  
Toshiyuki Satoh ◽  
Koichi Suzumori
Keyword(s):  
Control System ◽  
Silicone Rubber ◽  
Japanese Population ◽  
Human Hand ◽  
Robotic Hand ◽  
Robot Hand ◽  
Young Workers ◽  
Robot Hands ◽  
Soft Objects ◽  
And Control

Because of the rapid aging of the Japanese population and the acute decrease in young workers in Japan, robots are anticipated for use in performing rehabilitation and daily domestic tasks for nursing and welfare services. Use in environments with humans, safety, and human affinity are particularly important robot hand characteristics. Such robot hands must have flexible movements and be lightweight. Under these circumstances, this study specifically addresses the expansion of a silicone rubber, tendon-driven actuator, which has been developed using a pneumatic balloon. A multifingered robotic hand using the actuator is developed. Moreover, a fuzzy grasping control system is applied to the proposed robotic hand. The robot hand’s development is described incorporating pneumatic balloon actuator with the softness, size, and weight of a human hand. The fuzzy grasping control system is shown to be effective for the proposed robot hand, which can grasp soft objects easily.

scholarly journals Security Home Door Automation Using Multi Sensors

2021 ◽  
Vol 3 (1) ◽  
pp. 88
Author(s):  
Kristi Mahardi ◽  
Joni Welman Simatupang ◽  
Evi Rismauli
Keyword(s):  
Control System ◽  
Push Button ◽  
Considerable Distance ◽  
Control Relay ◽  
Opening And Closing ◽  
And Control ◽  
Fingerprint Detection

The System is using Smart Relay as main control that is commonly used industrially and commercially as a control system. Using the smart relay can reduce the use of control relay and writing of the system significantly. The smart relay has a GSM-SMS for messaging and controlling the system. Only the listed number at the system that can message and control the system. By using smart relay, we can costumized our design as our requirements. Automatic door is commonly used in commercial and industrial. The relay output will be connected to door motor (for opening and closing), buzzer for alarm and pilot lamps for indication. Finaly the system is expected to have several functions as follow : Automatic opening door using fingerprint detection, automatic opening door using GSM command, automatic opening door using push button for inside command, automatic opening door using passcode, automatic closing door after door is fully opened with no movement and send the notification by GSM. By Implementing this system, it will be easier to lock the door and activate the alarm from a considerable distance.

scholarly journals Voice Controlled Car using Aurduino and Bluetooth Module

2019 ◽  
Vol 9 (2) ◽  
pp. 1062-1065
Keyword(s):  
Image Processing ◽  
Long Range ◽  
Future Development ◽  
Short Range ◽  
Control Unit ◽  
Android Application ◽  
Long Distance ◽  
Voice Command ◽  
And Control ◽  
The Voice

This project builds a voice controlled car that can be controlled by voice commands which reacts in accordance to the corresponding voice command. However noise and distance handling require future development. Simple voice commands like left, right, forward, back, stop are used to run the car. These commands are given to Bluetooth module via an android application. The Bluetooth module and control unit are combined to store and test the voice commands. When an instruction for the automobile (car) is identified, a command message is sent to Arduino UNO, the Microcontroller of the car by the Bluetooth device. This command is analyzed by the microcontroller and followed up. In the vehicle, Image processing can be utilized to become aware of the shade and the obstacles. This work has been limited to the ZigBee system in the short-range (100mts range), and is linked to the car over long distance via long-range modules.

Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE
Keyword(s):  
Control System ◽  
Nonlinear Behavior ◽  
Simulation Software ◽  
Pulp And Paper ◽  
Pid Controllers ◽  
Tuning Parameters ◽  
Pid Tuning ◽  
Fixed Set ◽  
And Control ◽  
Operating Points

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

Lampu Sein Helm Sepeda Berbasis Voice Recognition

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar
Keyword(s):  
Voice Recognition ◽  
Driving Safety ◽  
Bicycle Helmet ◽  
Turn Signal ◽  
Voice Command ◽  
The Voice ◽  
Indicator Signal

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.

Еlectric Drive and Control System of Flying saw of electricweld item

2015 ◽  
Vol 19 (95) ◽  
pp. 50-53
Author(s):  
Aleksej A. Kravcov ◽  
◽  
Leonid G. Limonov ◽  
Valerij V. Sinelnikov ◽  
Stanislav V. Potapov
Keyword(s):  
Control System ◽  
Drive And Control ◽  
And Control

A Taxi and Ramp Management and Control System (TARMAC)

1990 ◽  
Author(s):  
D. Dippe
Keyword(s):  
Control System ◽  
And Control
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