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Figure from:Brainwave Controlled Robot Using Bluetooth

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This paper is implemented in an effective way we divide brain-controlled mobile robots into two categories according to their operational modes. One category is called “direct control by the BCI,” which means that the BCI translates EEG signals into motion commands to control robots directly who first developed a brain-controlled robotic wheelchair whose left or right turning movements are directly controlled by corresponding motion commands translated from user brain signals while imagining left or right limb movements, and tested this system in real-world situations [5]. The robotic platform is illustrated also used a BCI based on motor imagery to build a brain-controlled mobile robot, as illustrated which can perform three motion commands including turning left and right and going forward, and validated this robot in a real world. As shown in figure 1 the Brain secret card section contains EEG Sensor to Sense the Human brain, and it will be sensed by using the Brainwave Headset which is provided by NeuroSky. Technologies and those signals will be transferred by using Bluetooth which is there in the Brainwave headset, for this Brainwave headset we need to give power using a AAA battery which is shown in figure 2.The Brainwave headset comes with Power switch, a sensor tip, flexible ear arm and a ground connection Ear clip. In this Headset we use Non-invasive sensor that won’t cause any pain to the User who were the headset. After inserting an AAA battery switch on the Brainwave headset using the power switch the LED indicator will blink and if the Red colour light not blinking the headset is powered on but not connected to with the computer’s Bluetooth. If the Blue colour not blinking that means the headset is powered on and connected. If the red or blue colour blinks it shows that the Battery getting low.

Figure 1 This paper is implemented in an effective way we divide brain-controlled mobile robots into two categories according to their operational modes. One category is called “direct control by the BCI,” which means that the BCI translates EEG signals into motion commands to control robots directly who first developed a brain-controlled robotic wheelchair whose left or right turning movements are directly controlled by corresponding motion commands translated from user brain signals while imagining left or right limb movements, and tested this system in real-world situations [5]. The robotic platform is illustrated also used a BCI based on motor imagery to build a brain-controlled mobile robot, as illustrated which can perform three motion commands including turning left and right and going forward, and validated this robot in a real world. As shown in figure 1 the Brain secret card section contains EEG Sensor to Sense the Human brain, and it will be sensed by using the Brainwave Headset which is provided by NeuroSky. Technologies and those signals will be transferred by using Bluetooth which is there in the Brainwave headset, for this Brainwave headset we need to give power using a AAA battery which is shown in figure 2.The Brainwave headset comes with Power switch, a sensor tip, flexible ear arm and a ground connection Ear clip. In this Headset we use Non-invasive sensor that won’t cause any pain to the User who were the headset. After inserting an AAA battery switch on the Brainwave headset using the power switch the LED indicator will blink and if the Red colour light not blinking the headset is powered on but not connected to with the computer’s Bluetooth. If the Blue colour not blinking that means the headset is powered on and connected. If the red or blue colour blinks it shows that the Battery getting low.

Related Figures (5)

Table1. Frequencies Generated By Different Types of Activities in the Brain iii. eSense ThinkGe ear is s the technology inside every NeuroSky product or partner product that empowers a device to interface with the wearers’ brainwaves [16]. It includes the sensor that touches the forehead, the contact and reference points located in the ear clip, and the on-board chip that processes all of the data. Both the raw brainwaves and the eSense Meters are computed on the ThinkGear chip. eSense is a NeuroSky's proprietary algorithm for representing mental states. To calculate eSense, the NeuroSky ThinkGear technology intensifies the raw brainwave signal and removes the ambient noise and muscle movement. The eSense algorithm is then applied to the remaining signal, resulting in explicated eSense meter values. Please note that eSense meter values do not interpret an exact number, but instead describe ranges of activity. The eSense meters are a way to show how effectively the user is captivating Attention (similar to concentration) or Meditation (similar to relaxation) [16].
Table1. Frequencies Generated By Different Types of Activities in the Brain iii. eSense ThinkGe ear is s the technology inside every NeuroSky product or partner product that empowers a device to interface with the wearers’ brainwaves [16]. It includes the sensor that touches the forehead, the contact and reference points located in the ear clip, and the on-board chip that processes all of the data. Both the raw brainwaves and the eSense Meters are computed on the ThinkGear chip. eSense is a NeuroSky's proprietary algorithm for representing mental states. To calculate eSense, the NeuroSky ThinkGear technology intensifies the raw brainwave signal and removes the ambient noise and muscle movement. The eSense algorithm is then applied to the remaining signal, resulting in explicated eSense meter values. Please note that eSense meter values do not interpret an exact number, but instead describe ranges of activity. The eSense meters are a way to show how effectively the user is captivating Attention (similar to concentration) or Meditation (similar to relaxation) [16].
The flow diagram of Brainwave Controlled Robot unit is shown in figure 6. It shows all the step by step functions of robot, how it will be controlled by using brainwave signals. After Switching on the Brainwave headset and the Robot kit, the processor will initialize and the headset will starts sensing the neurons signals and after sensing the signals it will transfer them to through the Bluetooth and the acquisition module will receive the signals in the processor and in the processor the EEG signals comparison will be done if it is yes then the robot will move according to the signals or else it will go to the relay circuit and robot movement will be there and the process will be stopped. The research and development of brain-controlled mobile robots have received a great deal of attention because they can help bring mobility back to people with devastating neuromuscular disorders and thus improve their quality of life.
The flow diagram of Brainwave Controlled Robot unit is shown in figure 6. It shows all the step by step functions of robot, how it will be controlled by using brainwave signals. After Switching on the Brainwave headset and the Robot kit, the processor will initialize and the headset will starts sensing the neurons signals and after sensing the signals it will transfer them to through the Bluetooth and the acquisition module will receive the signals in the processor and in the processor the EEG signals comparison will be done if it is yes then the robot will move according to the signals or else it will go to the relay circuit and robot movement will be there and the process will be stopped. The research and development of brain-controlled mobile robots have received a great deal of attention because they can help bring mobility back to people with devastating neuromuscular disorders and thus improve their quality of life.
In this paper, we presented a comprehensive up-to-date review of the complete systems, key techniques, and evaluation issues of brain-controlled mobile robots. After implementing the Mindwave Controlled robot I’ve checked the results with NeuroSky headset, as I expected the headset doesn’t give the 100% accuracy of brainwaves but it is too good for its price and it can give up to 95% accuracy of brainwaves. After installing all the Neurosky software’s in PC, after connecting the Headset with PC through PC using Bluetooth, we need to wear the headset to the head and then we need to open the Mat lab Code and run the program, after clicking run the program in the command window of mat lab it will show the brainwave is connected and blink is detected and after that it will show the attention values and Blink values which is shown in figure 6. After getting these attention and blink values a graph will be generated and In the graph there will be two signals, the Black Signal is Blinking level and the red signal is Attention signal shown in figure 7. From here these signals will be transferred to the Robot through Zighee wireless transmission, the signals will be collected by Zighee receiver and sends to the processor, the processor decodes the signals as per Brainwave signals and according to the signals the Processor gives the commands to the motor wheels of the robot, according to the signals the robot will move forward, right and left and the robot is self controlled.
In this paper, we presented a comprehensive up-to-date review of the complete systems, key techniques, and evaluation issues of brain-controlled mobile robots. After implementing the Mindwave Controlled robot I’ve checked the results with NeuroSky headset, as I expected the headset doesn’t give the 100% accuracy of brainwaves but it is too good for its price and it can give up to 95% accuracy of brainwaves. After installing all the Neurosky software’s in PC, after connecting the Headset with PC through PC using Bluetooth, we need to wear the headset to the head and then we need to open the Mat lab Code and run the program, after clicking run the program in the command window of mat lab it will show the brainwave is connected and blink is detected and after that it will show the attention values and Blink values which is shown in figure 6. After getting these attention and blink values a graph will be generated and In the graph there will be two signals, the Black Signal is Blinking level and the red signal is Attention signal shown in figure 7. From here these signals will be transferred to the Robot through Zighee wireless transmission, the signals will be collected by Zighee receiver and sends to the processor, the processor decodes the signals as per Brainwave signals and according to the signals the Processor gives the commands to the motor wheels of the robot, according to the signals the robot will move forward, right and left and the robot is self controlled.