PDF | Gesture Vocalizer is a large scale multi-microcontroller based system being designed to facilitate the communication among the dumb, deaf and blind communities and their communication with the This system is beneficial for dumb people and their hands will speak Download full-text PDF. Abstract: This interacting device is a large scale microcontroller deaf and dumb communities and their communication with the normal people. Data Glove, Bend Sensor, Arduino UNO, Atmega , Speech Synthesis. 1. Micro controller based speaking system for deaf and dumb is designed to give the signs, which are preloaded in the device. It is a micro controller based device, .
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This project is designed and developed to help the deaf and dumb people in their needs. Speaking microcontroller make the aware about the. Sistec Major Project Report Microcontroller Enabled Speaking System for Deaf and Dumb - Download as Word Doc .doc), PDF File .pdf), Text File .txt) or read . This project is Electronic Speaking useful for the deaf and dumb, it can also be used for microcontroller which is pre-programmed to speak desired sentences.
Kiran Reddy Discovery, Volume 19, Number 58, May 14, application in the field of bioengineering. This project is Electronic Speaking useful for the deaf and dumb, it can also be used for the speechless patients with half of their bodies paralyzed and who are not able to speak but are able to move their System for Deaf and fingers. The glove is internally equipped with multiple flex sensors that are made up of Data Acquisition Method "bend-sensitive resistance elements". For each specific gesture, internal flex sensors produce a proportional Following is the list of possible methods which change in resistance of various elements. The could be used to sense the hand's movements. How visible are they in offices or behinds It has been done by the circuit shown In Fig. The truth is that there is often little room for Supply voltage is applied on the divider circuit Having 51 these people in the workplaces.
To minimize this barrier, we propose a device which can convert their hand gestures into voice which a normal person can understand. This device consists of a Wireless Glove, consisting of flex sensors and accelerometer. These sensors sense the movement of hands and fingers.
This system consists of a speech synthesizer circuit which converts these movements of hand into real time speech output and a display will give the text for the corresponding gesture.
The text and voice output being in English. So, this device provides efficient way of communication for both deaf-dumb and normal people.
Dumb persons have their own language to communicate with us; the only thing is that we need to understand their language. Sign language is used by deaf and mute people and it is a communication skill that uses gestures instead of sound to convey meaning simultaneously combining hand shapes, orientations and movement of the hands, arms or body and facial expressions to express fluidly a speaker s thoughts.
But most of the time normal people find it difficult to understand this sign language. The people who cannot speak or have lost their ability to speak in some accident, it becomes difficult for them to convey their message within the society. In this project, Flex Sensor plays the major role. The glove is fitted with flex sensors along the length of each finger and the thumb.
The flex sensors give output in the form of voltage variation that varies with degree of bend. This flex sensor output is given to the ADC channels of microcontroller. It processes the signals and perform analog to digital signal conversion.
Further the processed data is sent in a wireless manner to the receiver section. In this section the gesture is recognized and the corresponding output is displayed on LCD and simultaneously a speech output is play backed through speaker.
The portability of this project is a major advantage. Thus with the help of this project, the barrier faced by these people in communicating with the society can be reduced to a great extent.
In the image processing technique, the camera is used to capture the gestures. These gestures are captured in terms of images and these images are analysed using different algorithms to recognize the meaning of a particular gesture. One such method is discussed in , where a desired hand gesture sequence is created by animating the corresponding key gesture frames with the help of extracted information.
The disadvantage of image processing based technique is that it requires developing of complex computational algorithms in order to detect the gestures.
Further this technique also requires proper lighting conditions, proper backgrounds and field of view limitations. The next approach is to use Accelerometers and Flex sensors to detect the movement of hands. In , the authors did not use advanced microcontrollers and thus a separate ADC design was required to measure sensor readings. Further exclusion of wireless transmitters makes the system complex because of wires. Description of the Proposed System: In this system at the transmitter side we use a glove which has to be worn by the user.
This glove is mounted with 4 flex sensors each on the 4 fingers of the glove namely thumb, index, middle, ring.
The flex sensors give their output in the form of change in resistance according to the bend angle. The output from the flex sensors is given to the ADC channels of the microcontroller.
The processed ADC values from the microcontroller are compared with the threshold values for the recognition of a particular gesture. Thus we get the voice output for each gesture and display of each gesture in form of text on the LCD display.
The Power-down mode saves the register contents but freezes the Oscillator, disabling all other chip functions until the next External Interrupt or Hardware Reset. In Power-save mode, the Asynchronous timer continues to run, allowing the user to maintain a timer base while the rest of the device is sleeping. This allows very fast start-up combined with low-power consumption. These sensors are attached to the gloves. The sensor is so flexible that it bends easily even with a small bend.
As it is very thin and light weight so it is also very comfortable. Inside the flex sensor are carbon resistive elements within a thin flexible substrate. When the substrate is bent the sensor produces a resistance output relative to the bend radius. Its relation is shown in Fig. When it is bent, its resistance increases that causes increase in voltage on it which is an analog voltage change.
That is fed to voltage follower; an operational amplifier LM, which is recommended by the flex sensor manufacturer has been used to boost-up the circuit current, which makes it comprehensible for the PIC microcontroller to proceed further.
Voltage C. It has bit built-in ADC which convert it into digital form i. Similarly, it takes data from each finger and accumulates all five fingers data in five 8-bit registers, another bit-addressable register is used to store cumulative data in five bits dedicated for five fingers which consequently gives 32 combinations. Every number which is detected by hand gestures that can be seen in Table II has predefined meaning a certain 8-bit code for particular message is sent to aIVRN block.
This block can be seen in Fig. Key trigger and Parallel CPU trigger mode can be configured according to different application requirement. User selectable triggering and output signal options provide maximum flexibility to various applications.
This paper is a useful tool for speech impaired and partially paralysed patients which fill the communication gap between patients, doctors and relatives. This paper will give dumb a voice to speak for their needs and to express their gestures. As it is portable, requires low power operating on a single lithium-ion rechargeable battery and having less weight and robust give patient liberty to carry it anywhere at their will.