The electronic technology industry is to let a small gesture change the world. The baton is gently waving to supplemented with gentle gestures to make a concert at a critical moment from ordinary. Unfortunately, it is a big obstacle to understanding the human gesture language, whether it is software or hardware. Even if you just look for a method of describing a gesture, it is very difficult to convert to data for further processing. Now, Micro-core technology has developed the world's first 3D gesture identification chip, and under the action of its electric field, it can sense gestures without contact.
Why is it very difficult to convert human gestures to computer identifiable formats? Because the meaning of gestures is by no means a simple direction or actions of action trajectory. When interpreting a gesture, you need to track the movement trajectory of each part of each finger, plus the fine action changes of joints and wrists, and the collection of these data is quite necessary. In the past 30 years, artists have always been unwilling to see the commands of the tandem to do music against the computer. But gesture control still has a lot of development value, and potential markets still exist for this system.
Micro-core technology has recently demonstrated their gestic technology and is about to be applied to MGC3130 chip products, which is a by-product of other technology research. As a 3D digital converter, the MGC3130 chip can determine the position of 150 dpi within 15 cm distance. The sample rate is 200 times per second, which detects the position, speed and acceleration properties of the hand, the speed and acceleration properties.
The MGC3130 chip is a new choice for human-machine interface solutions that can detect changes in gestures in the electric field. After the gesture is induced by the electric field, it is necessary to accurately measure the change of hundreds of locations in each millisecond, and convert these data into a concise gesture description, this idea can completely abandon. In fact, there is a simple way to use it. The electric field-based gesture sensor output is a perfect interpretation of a gesture, and it is possible to extremely simplify the understanding of computer opposition.
Gestic technology detects gesture actions through changes in the surrounding electric field. The chip generates the excitation voltage, the frequency is about 100 kHz, and the excitation voltage acts on the transmitting electrode and the ground plane. Finally established an electric field, the electric field extends from the transmitting electrode to the scan area above the electrode. Since the wavelength of the excitation voltage is far more than the size of the electrode, the electric field through the scanning area is very balanced.
When a user rejuvenrates his hand into the scan area, the electric field will change. The electric field must be close to the surface of the conductor. There is a display in the picture above. The electric field line next to the hand is divided due to the human body's own conductive characteristics. The position of the handset and the position of the induction region produces oppression and reduces the electrode signal level.
The MGC3130 is not an opponent's surface to draw a point-of-point collection diagram, and only part of the analog voltage is measured. The analog data provides a highly compressed gesture signal. This cannot be used to simulate the position of your hand because there is not enough amount on the data. However, this data may be accurate enough to identify gestures.
The same gesture will produce the same signal, and the gesture similar to this gesture will produce almost signals. After all, the user's gesture has a small, the same gesture is different, there will be differences. The system built-in memory has a signal model for some standard gesture actions. Since the entire system uses dozens of data, replacing thousands of data, the entire identification special type gesture model has become more simple, and the class is more than the processing data. Prior to visual cortias, the pretreatment of the image has been carried out in the retina.
Imagine that the user puts the hand to the induction area, together with the thumb and index finger, and then make "A-OK" gestures. The GestIC inductor produces five voltages having this gesture characteristic. It doesn't have to care about whether the thumb and index finger are touched together, and the three other fingers are completely open. The computer also cannot pass the voltage analysis. All location information is not included in the data.
Conversely, the sensor's MPU will say: "The change in voltage is very fast, and then changes into a new model value. This should be a new gesture. Let us make this voltage in the future memory already existing standard gesture model Compare. - Well! It looks very similar to our "A-OK" gesture, at least like other things. Although I don't know what this gesture means, but the next job will be handed over. "
The Colibri operating software provides the best support for chips. The implementation of the comparison and identification of the input model is performed by a random hidden Markov analog algorithm. This algorithm has been readily integrated into a reliable standard 3D gesture in the product, including hands and gestures, preparatory. Including like location tracking, shaking, rotation, symbolic gesture, etc. The system can also be activated from a gesture from standby. The Colibri Software Set allows developers to quickly quickly and easily, and quickly quickly and quickly, and the programming design of the basic people's interactive interface is very in place.
At present, the MGC3130 chip specification will be 5x5mm QFN package. The electric field frequency is between 70 and 130 kHz, and the firmware of the 3130 chip also allows the frequency to achieve the frequency, fully exclude radio frequency interference. The power requirement is very low, the detection and handling gestures are only 100 milliwatts, and the usual standby mode is 150 microves, and the depth sleep mode is 30 micro. The MPU processor, the Clibri software set is integrated on a single chip.
The Gestic system is fully operating in a set of electrodes and 11 related electronic components, and the entire circuit system is named Micro-core Sabrewing MGC3130 Single Zone evaluation kit. The entire suite is priced at $ 169 (about 1054 yuan).
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