Electroencephalogram (EEG) Controlled Anatomical Robot Hand

The aim of this study is to develop a low cost prosthetic hand for the people of third world countries. In most cases the prosthesis requires surgery and very costly sensors which is not feasible for poor people. So a new approach is introduced in our study where Electroencephalography sensor and Electromyography sensor is used as a combination to receive necessary brain and muscle signals respectively to operate the artificial hand. Since both types of sensors do not require any direct contact with the nerves rather skin contact only, this study has shown potential for surgery-free implantation of the hand. In our study a new linkage mechanism is utilized for controlling each finger with a single motor. Our study showed that using attention level of human mind, the prosthetic hand can be operated to grab and release objects of different size and shape within a certain weight limit. Also force exerted and finger patterns can be controlled with muscle signals.

International Journal of Systems, Control and Communications (IJSCC), 2018

The purpose of brain machine interface (BMI) is to provide a communication path between brain signals and external devices. Use of brain signals for restoring function of impaired body parts using scientific methods require brain machine interface. This article presents BMI to control five-fingered prosthetic hand using the electroencephalography (EEG) signals. The core objective of the system is to develop a control system that will be able to communicate with the brain thoughts. EEG signals captured from the human scalp are used as information carrier for brain control interface (BCI) system. This research article discusses the development of a system to assist disable persons using EEG based signals.

Advances in Human-Computer Interaction, 2021

More than one billion people face disabilities worldwide, according to the World Health Organization (WHO). In Sri Lanka, there are thousands of people suffering from a variety of disabilities, especially hand disabilities, due to the civil war in the country. The Ministry of Health of Sri Lanka reports that by 2025, the number of people with disabilities in Sri Lanka will grow by 24.2%. In the field of robotics, new technologies for handicapped people are now being built to make their lives simple and effective. The aim of this research is to develop a 3-finger anatomical robot hand model for handicapped people and control (flexion and extension) the robot hand using motor imagery. Eight EEG electrodes were used to extract EEG signals from the primary motor cortex. Data collection and testing were performed for a period of 42 s timespan. According to the test results, eight EEG electrodes were sufficient to acquire the motor imagery for flexion and extension of finger movements. The overall accuracy of the experiments was found at 89.34% (mean = 22.32) at the 0.894 precision. We also observed that the proposed design provided promising results for the performance of the task (grab, hold, and release activities) of hand-disabled persons.

International Journal for Research in Applied Science and Engineering Technology IJRASET, 2020

There are approximately 21 million disabled folks in India, which is equivalent to 2.2% of the total population. These disabled individuals are impacted by numerous neuromuscular disorders. To enable them to express themselves, one can supply them with alternative and augmentative communication. For this, a Brain Computer Interface system (BCI) has been put together to deal with this particular need. The fundamental presumption of the project reports the design, building as well as a testing imitation of a man's arm which is designed to be dynamically as well as kinematically accurate. The delivered device tries to resemble the motion of the biological human hand by analyzing the signals produced by brain waves. The brain waves are actually sensed by sensors in the Neurosky headset and generate alpha, beta, and gamma signal. Then this signal is analyzed by the microcontroller and is then inherited on to the synthetic hand via servo motors. A patient that suffers from an amputee below the elbow can gain from this particular bio robotic arm.

2015

The aim of this study is to develop a prosthetic hand in such a manner that the cost of production is drastically reduced and to make modern prosthesis available to people of third world countries. In this study, different designs are considered and compared to identify the suitable one. Also a new approach of using electroencephalography (EMG) sensor to control the prosthetic hand is introduced. This non-invasive technique allows detecting the attention level of human mind to activate the prosthetic hand and use it to grab or release an object. The possibility of eliminating surgery for prosthetic hand attachment is also investigated.

WSEAS transactions on biology and biomedicine, 2022

Today, there are many people who have lost their hands or arms for various reasons. This situation affects both psychology and daily life of people negatively. With the developing technology, prosthetic hand and arm studies are carried out to facilitate the life of disabled people and to eliminate this negativity. Thanks to the existing biopotentials in the body, it is possible to read the human body. In this context, it can explain our hand and arm movements with the existing biopotential signals and transfer these signals to a prosthesis, enabling people to make the desired movement. Since the biopotential signals in the body are of very low amplitude and frequency, the first goal is to obtain the EMG signal cleanly without noise. In this study, the obtained analog signal was converted into digital information by using software in the computer environment. Thus, each signal gained a meaning. As a result, the movement of the prosthesis was provided by transferring it to stepper motors with the help of Arduino.

To create a robotic arm that functions accordingly to the human brain signals without any medical surgeries.

International Journal of Advanced Computer Science and Applications, 2021

Accidents, wars, or different diseases can affect upper limbs in such a manner so their amputation is required, with dramatic effects on people's ability to perform tasks such as grabbing, holding objects, or moving them. In this context, it is necessary to develop solutions to support upper limb amputees to perform daily routine activities. BCI (brain-computer interface) offer the ability to use the neural activity of the brain to communicate or control robots, artificial limbs, or machines without physical movement. This article proposing an electroencephalography (EEG) mind-controlled prosthetic arm. It eliminates the drawbacks like the high price, heaviness, and dependency on the intact nerves related to the myoelectric and other types of prostheses currently in use. The developed prototype is a low-cost 3D-printed prosthetic arm controllable via brain commands using EEG-based BCI technology. It includes a stepper motor controlled by Raspberry Pi 4 to perform actions like open/close movement and holding objects. The project has successfully implemented and achieve the aim to create a prototype of a mind-controlled prosthetic arm system in addition to the necessary experimental tests and calculations regarding torque, force, and the weight that the hand can carry. The paper proves the feasibility of the approach and opens the route for improving the design of the prototype to attach it to the upper-limb amputation stump.

IJRASET, 2021

There are roughly 21 million handicapped people in India, which is comparable to 2.2% of the complete populace. These people are affected by various neuromuscular problems. To empower them to articulate their thoughts, one can supply them with elective and augmentative correspondence. For this, a Brain-Computer Interface framework (BCI) has been assembled to manage this specific need. The basic assumption of the venture reports the plan, working just as a testing impersonation of a man's arm which is intended to be powerfully just as kinematically exact. The conveyed gadget attempts to take after the movement of the human hand by investigating the signs delivered by cerebrum waves. The cerebrum waves are really detected by sensors in the Neurosky headset and produce alpha, beta, and gamma signals. Then, at that point, this sign is examined by the microcontroller and is then acquired onto the engineered hand by means of servo engines. A patient that experiences an amputee underneath the elbow can acquire from this specific biomechanical arm.

2020

1-3Student, Dept. of Computer Engineering, Terna Engineering College, Navi Mumbai, India. 4Professor, Dept. of Computer Engineering, Terna Engineering College, Navi Mumbai, India. ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract The field of prosthetics has showed a significant improvement over last few years, due to advancement in technologies. However, they have certain problems either with being really expensive, does not provide full motor functions, may require surgical approach or does not look like an arm. This project describes how the Brain waves can be used to control a prosthetic arm using Brain Computer Interface (BCI). The BCI system consist of Electroencephalogram (EEG) sensors placed on the headset to capture the brain waves, which will be extracted using Thinkgear library in MATLAB. The Brain signal act as command signals and transmitted to microcontroller. This comma...