Paper Presentation on Brain Controlled Artificial Legs

iaeme

This paper describes a brain controlled robotic leg which is designed to perform the normal operations of a human leg. After implanting this leg in a human, the leg can be controlled with the help of user’s brain signals alone. This leg behaves similar to a normal human leg and it can perform operation like walking, running, climbing stairs etc. The entire systemis controlled with the help of advanced microcontrollers and digital signal processors. The signals are taken out from the human brain with the help of electroencephalography technique. The person can perform operations like walking, running etc just by their thought. This system will be very much suitable for those who lost their legs in accidents and the proposed system is hundred percent feasible in the real time environment with the currently available technology. The Brain Controlled Artificial Legs are very much cost effective when compared to the normal Artificial legs which is available in the market. The reduction in cost of the proposed system is found to be above 80% when compared to the existing system. Moreover, the user can have full control over the artificial legs which is not possible in the existing system.

This paper describes a brain controlled robotic leg which is designed to perform the normal operations of a human leg. After implanting this leg in a human, the leg can be controlled with the help of user's brain signals alone. This leg behaves similar to a normal human leg and it can perform operation like walking, running, climbing stairs etc. The entire system is controlled with the help of advanced microcontrollers and digital signal

This paper describes a brain controlled robotic leg which is designed to perform the normal operations of a human leg. After implanting this leg in a human, the leg can be controlled with the help of user's brain signals alone. This leg behaves similar to a normal human leg and it can perform operation like walking, running, climbing stairs etc. The entire system is controlled with the help of advanced microcontrollers and digital signal processors. The signals are taken out from the human brain with the help of electroencephalography technique. The person can perform operations like walking, running etc. just by their thought. This system will be very much suitable for those who lost their legs in accidents and the proposed system is hundred percentage feasible in the real time environment with the currently available technology. The Brain Controlled Artificial Legs are very much cost effective when compared to the commonly used artificial legs which are available in the market. The reduction in cost of the proposed system is found to be above 80% when compared to the existing system. Moreover, the user can have full control over the artificial legs which is not possible in the existing system.

this paper deals with the controlling of artificial leg using human brain.and the aritificial leg responds according to how the human mind feels.

Some disease destroys the peripheral & central motor system of human. In those persons normal neuromuscular pathway for movement of hand & foot is lost. Artificial limb control by EEG & EMG helps them to move their limb for desired actions. As a person's wish for movement of limb can be determine by his EEG activity so this EEG activity is used to control the limb action. This technique provides the brain with a new, non-muscular communication and control channel, a direct brain-computer interface (BCI) for conveying messages and commands to the external world. But controlling limb by only EEG cannot replace the original limb function. If EMG signal is also used with EEG for control function then artificial limb can be action as original. EEG & EMG signals together increases the speed & accuracy of artificial limb.

Journal of emerging technologies and innovative research, 2019

Necessity is the mother of all inventions. BrainThe Master of our body generates signals in accord with our thoughts and decrees every part to perform the desired actions. This paper is a boon to the amputees since it can decrease their encumber. This paper targets in trapping the signals by the use of Brain wave sensor (Sensors that are attached to the scalp in order to monitor the Brain Wave activity in different parts of the brain) and feed the signals to the so designed artificial hand. Adroit limb is different from the already existing ones. It can encompass activities like peeling; feel things as our normal human hand. The existing models can provide only support but the proposed prototype for this paper can respond to External Stimulus. Brain waves are obtained from a special analysis of EEG (Electro Encephalo Gram). These brain waves show us the brain's response to an external stimulus or event. Brain activity before, during, and after a stimulus presentation is recorded...

Due to some diseases or spinal cord injury, sensory, motor and autonomous function for the limb movement is completely destructed. BCI (Brain computer Interface) provides a new communication pathway for those patients. Imagination of limb movements is used to operate a BCI. With analysis of acquired EEG signal due to motor imagery controlling of an artificial limb is possible. For this technique motor imagery EEG signal is classified and the classified part is fed to a controller to execute exactly that movement. State feedback PI controller can be used to control an artificial limb. With help of this controller not only position but also velocity can be controlled. In this paper, a simulated model of EEG driven artificial limb control using state feedback PI controller is presented. For this study, EEG data for motor imagery was taken from five healthy subjects. The wavelet coefficients are calculated from that EEG signals as features and the obtained features are classified by QDA classifier to determine the part of the limb the user wants to move. The initial and target position are fed to the controller and the controller move the artificial limb to reach the target position at the classified direction. The overall control procedure is done using Matlab 7.6.

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.

This brain controlled robot is based on Brain-computer interfaces (BCI). BCIs are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. With these commands a mobile robot can be controlled. The intention of the project work is to develop a robot that can assist the disabled people in their daily life to do some work independent on others.

Advances in Science, Technology and Engineering Systems Journal

This work presents the development of an original idea for a walking robot with a minimum number of motors, simple construction and a control system based on the brain bioelectrical activities. Described are geometric and kinematic dependencies related to the robot movement, as well as brain-inspired IoT control method. Various aspects are discussed for improving the robot's qualities, concerning the shape of the robot's feet and base in order to overcome various obstacles and maintain the static mechanical equilibrium. Improvements in the mechanical design are provided to improve reliability and enhance the scope of robot's applications. A new IoT framework for creating Human-robot interaction applications based on Node-RED "wiring" of Emotiv Brain Computer Interface (BCI) and Arduino based robot is designed, developed and tested. An educational application how to train the joint attention of children by a mind control method based on neurofeedback from beta oscillation in the right temporoparietal region is illustrated in a Node-RED flow. The neurofeedback is exposed on the walking robot.