Magnetic shaft keyboard

Abstract

The invention discloses a magnetic axis keyboard, and relates to the technical field of electromagnetic signals and electronic control. Comprising a sensor, a plurality of analog-to-digital converters and a multi-stage microcontroller, each stage of microcontroller respectively controls different signal processing flows; the multi-stage microcontroller comprises a first-stage processor, a second-stage processor and a third-stage processor; the sensor is respectively connected with the input ends of the plurality of analog-to-digital converters, the output ends of the plurality of analog-to-digital converters are respectively connected with the first-stage processor, one end of the first-stage processor is connected with the second-stage processor, the other end of the second-stage processor is connected with one end of the third-stage processor, and the other end of the third-stage processor is connected with the host. The key response speed of the magnetic axis keyboard is high.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic signals and electronic control, and particularly relates to a magnetic axis keyboard. Background Art

[0002] With the continuous progress of technology and the increasing diversification of user needs, the magnetic axis keyboard, with its unique advantages, has continuously expanded its usage scenarios and is becoming more and more widely applied.

[0003] Among them, there is a magnetic axis structure under each key of the magnetic axis keyboard, which mainly consists of a magnet and a magnetic sensor. When the user presses a key, the key will drive the connected magnet to generate a displacement, thereby changing the magnetic field distribution between the magnet and the magnetic sensor. The magnetic sensor can sense this magnetic field change, convert it into an electrical signal, and then process the signal through the control circuit inside the magnetic axis keyboard to determine whether the key is pressed.

[0004] However, due to the relatively complex signal processing process of the magnetic axis keyboard, if multiple keys are pressed simultaneously or quickly and continuously, the control circuit of the magnetic axis keyboard may not process in a timely manner, resulting in a key response delay of the magnetic axis keyboard. Summary of the Invention

[0005] Based on this, it is necessary to provide a magnetic axis keyboard for the above technical problems, and the key response speed of this magnetic axis keyboard is relatively fast.

[0006] The present invention adopts the following technical solutions: The present invention provides a magnetic axis keyboard, including: a sensor, a plurality of analog-to-digital converters, and multiple-level microcontrollers; each level of microcontroller controls different signal processing processes respectively; the multiple-level microcontrollers include a first-level processor, a second-level processor, and a third-level processor; the sensor is respectively connected to the input ends of the plurality of analog-to-digital converters, the output ends of the plurality of analog-to-digital converters are respectively connected to the first-level processor, one end of the first-level processor is connected to the second-level processor, the other end of the second-level processor is connected to one end of the third-level processor, and the other end of the third-level processor is connected to the host; The sensor is used to collect the voltage difference analog signal generated when the user triggers the key of the magnetic axis keyboard, and send the voltage difference analog signal to the corresponding analog-to-digital converter; each analog-to-digital converter corresponds to at least one key, and the keys corresponding to each analog-to-digital converter are all different; The analog-to-digital converter is used to convert the received voltage difference analog signal into a digital signal and send it to the first-level processor; The first-level processor is used to filter the received digital signal and transmit the filtered signal to the second-level processor; The second-level processor is used to judge the trigger result of the key according to the filtered signal and send the trigger result to the third-level processor; A three - level processor, configured to convert a trigger result into a corresponding protocol according to the toggling of a three - mode switch and send it to the host.

[0007] Optionally, the first - level processor includes multiple microcontrollers, each microcontroller corresponding to at least one analog - to - digital converter, and the analog - to - digital converters corresponding to each microcontroller are different; each microcontroller is respectively connected to the output end of the corresponding analog - to - digital converter; The analog - to - digital converter is configured to send the converted digital signal to the corresponding microcontroller.

[0008] Optionally, the sensor is a tunneling magnetoresistance sensor.

[0009] Optionally, the analog - to - digital converter is an external analog - to - digital converter with a quantization accuracy of 14 bits, and each analog - to - digital converter includes two channels.

[0010] Optionally, each first - level processor transmits the filtered signal to the second - level processor through a parallel port; the communication between the first - level processor and the second - level processor uses a 16 - bit parallel port.

[0011] Optionally, the trigger result includes triggered and not triggered; The second - level processor is specifically configured to determine the pressing depth of the key according to the filtered signal, and determine whether the key is triggered according to the pressing depth of the key and the trigger threshold; the trigger threshold of each key is different.

[0012] Optionally, the magnetic - axis keyboard further includes a communication unit; The communication unit is configured to send the key value, pressing depth, trigger result, and corresponding timestamp of the key to the cloud server in real time, and receive the trigger threshold of the key sent by the cloud server in real time; the trigger threshold of the key is obtained by the cloud server inputting the key value, pressing depth, trigger result, and corresponding timestamp of the key into an artificial intelligence large - model, and extracting the depth - time feature of a single press and the continuous - press time - series feature through the artificial intelligence large - model; the artificial intelligence large - model updates the trigger threshold of the key in real time.

[0013] The above - mentioned at least one technical solution adopted by the present invention can achieve the following beneficial effects: In the present invention, by setting multiple analog - to - digital converters and multiple - level microcontrollers, the analog signals of the keys are collected in parallel, improving the signal collection efficiency. And at the signal processing end, the signal processing process is classified, improving the signal processing efficiency. Thus, when multiple keys of the magnetic - axis keyboard are pressed simultaneously or quickly and continuously, it is ensured that the key response speed of the magnetic - axis keyboard is still relatively fast. Compared with the traditional method of serially collecting analog signals through an analog sensor built in a single - chip microcomputer and only performing data processing through one microcontroller, the response speed of the magnetic - axis keyboard is greatly improved. Description of the Drawings

[0014] The drawings described herein are provided to further understand the present invention and form a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0015] Figure 1 is a schematic structural diagram of a magnetic axis keyboard provided by the present invention; Figure 2 is a schematic structural diagram of another magnetic axis keyboard provided by the present invention; Figure 3 is a hardware data flow chart of a magnetic axis keyboard; Figure 4 is a flow chart of personalized configuration data of user recommendation based on artificial intelligence provided by the present invention.

[0016] Description of the reference numerals: 100, magnetic axis keyboard; 101, sensor; 102, multiple analog-to-digital converters; 103, primary processor; 104, secondary processor; 105, tertiary processor; 106, host; 201, microcontroller. Detailed Description of the Invention

[0017] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and the corresponding drawings. Apparently, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention; the terms "including" and "having" and any variations thereof in the specification and claims of the present invention and the above description of the drawings are intended to cover non-exclusive inclusion.

[0019] In the description of the embodiments of the present invention, technical terms such as "primary" and "secondary" are only used to distinguish different objects and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present invention, the meaning of "multiple" is more than two, unless otherwise specifically defined.

[0020] References to "embodiments" in this specification mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive of other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0021] Currently, the structure of traditional magnetic axis keyboards is that a front-mounted Hall sensor - multiplexer - microcontroller (MCU) with a built-in analog-to-digital converter (ADC) is used for scanning.

[0022] Traditional keys generally have only two states: triggered and untriggered. Although traditional magnetic axis keyboards can read the pressing depth, there are the following three problems: 1. The quantization of the pressing depth is insufficient. The current mainstream magnetic axis keyboards have a resolution of only 0.01 mm; 2. The scanning rate of the keys is insufficient. The current mainstream magnetic axis keyboards have a full-board scanning rate of 16k, and the highest-end models are only 32k, so they cannot quickly capture some extremely subtle and fast movements; 3. The pressing thresholds and rapid trigger (rt) accuracies of current mainstream magnetic axis keyboards are preset by manufacturers or set by users themselves, but most users do not know what settings are suitable for them.

[0023] Based on this, the present invention provides a magnetic axis keyboard, which improves the response speed of the magnetic axis keyboard and improves the control accuracy of the magnetic axis keyboard.

[0024] The following will, with reference to the accompanying drawings, detail the technical solutions provided by the embodiments of the present invention.

[0025] Figure 1 FIG. is a schematic structural diagram of a magnetic axis keyboard in the present invention. The magnetic axis keyboard 100 includes: a sensor 101, a plurality of analog-to-digital converters 102, and multiple levels of microcontrollers; each level of microcontroller controls different signal processing flows respectively; the multiple levels of microcontrollers include a first-level processor 103, a second-level processor 104, and a third-level processor 105; the sensor 101 is respectively connected to the input ends of the plurality of analog-to-digital converters 102, the output ends of the plurality of analog-to-digital converters 102 are respectively connected to the first-level processor 103, one end of the first-level processor 103 is connected to the second-level processor 104, the other end of the second-level processor 104 is connected to one end of the third-level processor 105, and the other end of the third-level processor 105 is connected to the host 106.

[0026] It should be noted that Figure 1The analog-to-digital converters are only taken as examples by four. In actual applications, the number of analog-to-digital converters can be determined according to actual requirements.

[0027] The sensor 101 is used to collect the analog voltage difference signal generated when the user triggers a key of the magnetic-axis keyboard, and send the analog voltage difference signal to the corresponding analog-to-digital converter 102; each analog-to-digital converter 102 corresponds to at least one key, and the keys corresponding to each analog-to-digital converter 102 are different.

[0028] It should be noted that the analog voltage difference signal carries the key value of the key. The sensor can determine which analog-to-digital converter to send according to the key value of the key. Specifically, there is a corresponding relationship between the key value of the key and the number of the analog-to-digital converter. The sensor can determine the analog-to-digital converter according to this corresponding relationship and send the analog voltage difference signal to this analog-to-digital converter.

[0029] The analog-to-digital converter 102 is used to convert the received analog voltage difference signal into a digital signal and send it to the primary processor 103.

[0030] The primary processor 103 is used to perform filtering processing on the received digital signal and transmit the filtered signal to the secondary processor 104.

[0031] The secondary processor 104 is used to judge the trigger result of the key according to the filtered signal and send the trigger result to the tertiary processor 105.

[0032] The tertiary processor 105 is used to convert the trigger result into a corresponding protocol according to the toggling situation of the three-mode switch and send it to the host 106.

[0033] Among them, the three-mode switch is a component used to switch the three connection modes of the keyboard. These three connection modes are usually wired connection, wireless 2.4G connection, and Bluetooth connection; the toggling situation indicates which connection mode the keyboard is connected to the host. Therefore, the tertiary processor 105 can convert the trigger result into a protocol of the corresponding connection mode according to the toggling situation of the three-mode switch and send it to the host, and can be converted into a Universal Serial Bus (USB) protocol, a Bluetooth protocol, or a 2.4G wireless connection protocol and sent to the host.

[0034] Both the secondary processor 104 and the tertiary processor 105 can be a microcontroller.

[0035] In one embodiment, the sensor 101 is a Tunnel Magnetoresistance (tmr) sensor.

[0036] The insufficient stroke resolution in the traditional technology is caused by the large interference of analog circuits and the insufficient sampling and quantization accuracy of the ADC. For analog circuits, the largest interference source comes from the switching power supply inside the USB port of the computer. Since the Hall sensor has high power consumption, its power supply also needs to use a switching power supply, which inevitably introduces ripple. At the same time, the Hall element has a temperature drift problem. When the shaft light is turned on for a long time, the keyboard may even have serious misoperation and malfunction. Correspondingly, the present invention adopts a low-power and low-temperature-drift tmr sensor. The power consumption of the tmr sensor is only one-tenth of that of the Hall sensor, which allows the magnetic axis keyboard to be powered by a higher-precision voltage source. The standard ripple peak-to-peak value of a common switching power supply is 50mv, that is, the full-scale drift is 1%. The power supply scheme using a bandgap reference source adopted by the present invention can reduce this error by a hundred times.

[0037] In one embodiment, the analog-to-digital converter 102 is an external analog-to-digital converter with a quantization accuracy of 14 bits, and each analog-to-digital converter 102 includes two channels.

[0038] For the problem of insufficient ADC quantization accuracy, the traditional magnetic axis keyboard uses the ADC built in the MCU for sampling, with a general quantization accuracy of 12 bits. The present invention adopts an external high-precision ADC with a quantization accuracy of 14 bits, and the accuracy is four times that of the traditional scheme.

[0039] The traditional magnetic axis keyboard uses a multiplexer for channel acquisition and uses the ADC built in the MCU for sampling. The entire acquisition process is serial, that is, the acquisition of each key is not synchronous, which results in the inability to improve the acquisition speed.

[0040] Therefore, in one embodiment, as Figure 2 shown, the primary processor 103 includes a plurality of microcontrollers 201. Each microcontroller 201 corresponds to at least one analog-to-digital converter 102, and the analog-to-digital converters 102 corresponding to each microcontroller 201 are all different; each microcontroller 201 is respectively connected to the output end of the corresponding analog-to-digital converter 102; the analog-to-digital converter 102 is used to send the converted digital signal to the corresponding microcontroller 201.

[0041] The present invention adopts a plurality of microcontrollers as the primary processor. Each microcontroller controls a plurality of analog-to-digital converters, and each analog-to-digital converter has two channels, so as to achieve multi-channel synchronous sampling.

[0042] In one embodiment, each primary processor transmits the filtered signal to the secondary processor through a parallel port; the communication between the primary processor and the secondary processor uses a 16-bit parallel port.

[0043] It should be noted that Figure 2For example, the analog-to-digital converter 102 includes 4 units, and the primary processor 103 includes two microcontrollers 201. Every two analog-to-digital converters 102 are connected to one microcontroller 201. In this way, two microcontrollers 201 are used as the primary processor 103. Each microcontroller 201 controls two analog-to-digital converters 102, and each analog-to-digital converter 102 has two channels, thereby achieving eight-channel synchronous sampling and increasing the full-scan rate to eight times that of traditional technologies. At the same time, the communication between the primary processor 103 and the secondary processor 104 samples 16-bit parallel ports and uses hardware direct memory access (DMA) to write to the input / output (I / O) registers, that is, each binary bit (bit) of the clock signal can send 16-bit data, and the data transfer speed is increased to 32 times that of the traditional serial scheme through two-way parallelism.

[0044] In one embodiment, the trigger result includes triggered and untriggered; the secondary processor 104 is specifically configured to determine the pressing depth of the key according to the filtered signal, and determine whether the key is triggered according to the pressing depth of the key and the trigger threshold; the trigger threshold of each key is different.

[0045] In one embodiment, the magnetic axis keyboard further includes a communication unit; the communication unit is configured to send the key value, pressing depth, trigger result, and corresponding timestamp of the key to the cloud server in real time, and receive the trigger threshold of the key sent by the cloud server in real time; the trigger threshold of the key is obtained by the cloud server inputting the key value, pressing depth, trigger result, and corresponding timestamp of the key into the artificial intelligence large model, and extracting the depth-time feature of a single press and the continuous press timing feature through the artificial intelligence large model; the artificial intelligence large model updates the trigger threshold of the key in real time.

[0046] It should be noted that when the sensor collects the voltage difference analog signal, the voltage difference analog signal carries the key value of the key, and the specific key can be determined according to the key value.

[0047] As Figure 3 shown, Figure 3 is a hardware data flow diagram of a magnetic axis keyboard, including 4 ADCs, 2 primary microcontrollers, and 1 secondary processor. Every 2 ADCs are connected to 1 primary microcontroller, and the 2 primary microcontrollers are both connected to the secondary processor. The secondary processor interacts with the AI large model. The AI large model can analyze information such as the pressing duration, pressing force, pressing frequency, and pressing time interval of the user on the key, determine the trigger threshold of each key for the user, and feedback the trigger threshold of each key to the secondary processor.

[0048] As Figure 4 shown, Figure 4A flowchart for recommending personalized configuration data to users based on artificial intelligence provided by the present invention. The user interacts with the keyboard, and the data of the user's interaction with the keyboard is collected through the driver and sent to the cloud server. The cloud server transmits the data to the AI large model, and the AI large model generates personalized configuration data and sends it to the cloud server. The cloud server recommends personalized configuration data to the user.

[0049] Among them, the driver specifically refers to the data acquisition module in the magnetic axis keyboard firmware. The driver is divided into two parts. One part is composed of the hardware chips inside the magnetic axis keyboard, and the collected data is stored in the internal flash of the keyboard. The second part is when the driver software is opened on the computer, the data stored in the keyboard is read out and transmitted to the cloud server.

[0050] Specifically, the artificial intelligence (AI) large model has attracted much attention since its birth. However, training an AI large model requires a large amount of accurate data. The hardware design of the present invention ensures the data set of the AI large model and can provide a more accurate experience for users. To achieve the above purpose, relying on the cutting-edge AI large model technology, deeply analyze the pressing habit data during the interaction between the user and the magnetic axis keyboard, including multi-dimensional data such as pressing duration, pressing force, pressing frequency, and pressing time interval, and fully consider the timing characteristics of the user's operation, accurately identify the long-term and short-term changes in the user's pressing habits, accurately outline the user's pressing behavior pattern, and can dynamically adaptively optimize. Based on the constructed personalized AI large model, it is possible to accurately construct the unique pressing behavior pattern of each user, and the system can automatically push personalized settings that highly match the user's operation habits.

[0051] For multi-dimensional data such as pressing duration, pressing force, pressing frequency, and time interval, introduce a time series analysis algorithm and a deep learning architecture, consider the coherence and regularity of the operation timing, and use the long short-term memory network (LSTM) to insight into the long-term and short-term changes in pressing habits, accurately outline the unique pressing behavior pattern of the user, and use the dynamic adaptive optimization module to adjust the parameters in real time according to the habit evolution to ensure synchronization with the user's needs. Based on this personalized AI large model, the system demonstrates intelligent adaptation capabilities and pushes personalized settings that match the user's habits.

[0052] At the front end of data processing, introduce a clustering analysis strategy, and divide the user behavior data into high-frequency and low-frequency data according to the frequency characteristics. High-frequency data is used to mine high-frequency operation patterns and preferences to immediately optimize the user experience; low-frequency data is incorporated into the long-term learning model to assist in predicting potential demand changes and contribute to the subsequent upgrade of personalized services.

[0053] From the perspective of diversified expansion, the present invention has excellent compatibility. In scenarios such as high-speed text input in conventional office software, high-precision operation in professional design software, and instant response in e-sports games, the system intelligently switches and adapts to the mode according to the real-time dynamic pressing habits of users in different software environments, creating a tailored experience.

[0054] Explore the personalized configuration process of AI recommendation: When the user touches the magnetic axis keyboard, the built-in high-performance driver drives the ultra-sensitive tmr sensor, multiple analog-to-digital converters, and multi-level microcontrollers to collect pressing operation data with microsecond-level precision in all directions, and transmits it to the cloud server via an encrypted high-speed network dedicated line. The algorithm cluster on the server side uses technologies such as Deep Neural Network (DNN), clustering analysis, and association rule mining to deeply mine the interaction data, extract the key feature vectors bound to the operation habits, accurately calculate the personalized settings based on this and send them back to the buffer area, and the server pushes the settings according to the user's real-time online status through an optimized push protocol to improve the fluency and satisfaction of human-computer interaction.

[0055] Specifically, the tmr sensor in the magnetic axis keyboard collects the key value, pressing depth, triggering result, and corresponding timestamp when the user triggers a key, and transmits it to the host through a multi-level microcontroller; the host uploads the data to the cloud server; the cloud server extracts the depth-time features of a single press through Convolutional Neural Network (CNN), analyzes the continuous pressing time series features through Recurrent Neural Network (RNN), and fuses the depth-time features of a single press and the continuous pressing time series features to generate a dynamic trigger threshold.

[0056] The depth-time features of a single press include the pressing depth curve, pressing peak force, pressing duration, etc., and the continuous pressing time series features include the continuous pressing interval, pressing frequency sequence, etc.

[0057] The core layer of the AI large model of the present invention adopts a hybrid architecture, integrating the advantages of CNN for extracting local features and RNN for processing time series data. CNN finely extracts the multi-dimensional physical features of a single key press, and RNN mines the rhythm and habit trends of continuous pressing operations, synergistically greatly improving the accuracy of habit analysis. The model training introduces a transfer learning strategy, pre-training the basic layer with a large amount of general keyboard operation data, and fine-tuning it in combination with the data of specific user groups, shortening the training cycle, improving the adaptability and generalization ability, and providing energy for optimizing the user experience.

[0058] The process of AI recommendation for personalized configuration: First, the user interacts with the keyboard, the driver performs data collection, sends the data to the server, the algorithm deeply mines the user interaction data, calculates the corresponding personalized settings, and returns them to the server, and the server then pushes the personalized settings to the user.

[0059] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as falling within the scope recorded in the present invention.

Claims

1. A magnetic axis keyboard, characterized in that, Including: A sensor, multiple analog-to-digital converters, and a multi-level microcontroller; each level of the microcontroller controls different signal processing flows respectively; The multi-level microcontroller includes a first-level processor, a second-level processor, and a third-level processor; the sensor is respectively connected to the input ends of multiple analog-to-digital converters, the output ends of the multiple analog-to-digital converters are respectively connected to the first-level processor, one end of the first-level processor is connected to the second-level processor, the other end of the second-level processor is connected to one end of the third-level processor, and the other end of the third-level processor is connected to the host; The sensor is used to collect the voltage difference analog signal generated when the user triggers the key of the magnetic axis keyboard, and send the voltage difference analog signal to the corresponding analog-to-digital converter; Each analog-to-digital converter corresponds to at least one key, and the keys corresponding to each analog-to-digital converter are all different; The analog-to-digital converter is used to convert the received voltage difference analog signal into a digital signal and send it to the first-level processor; The first-level processor is used to filter the received digital signal and transmit the filtered signal to the second-level processor; The second-level processor is used to judge the trigger result of the key according to the filtered signal and send the trigger result to the third-level processor; The third-level processor is used to convert the trigger result into the corresponding protocol according to the toggling situation of the three-mode switch and send it to the host.

2. The magnetic axis keyboard according to claim 1, wherein The first-level processor includes multiple microcontrollers, each microcontroller corresponds to at least one analog-to-digital converter, and the analog-to-digital converters corresponding to each microcontroller are all different; each microcontroller is respectively connected to the output end of the corresponding analog-to-digital converter; The analog-to-digital converter is used to send the converted digital signal to the corresponding microcontroller.

3. The magnetic axis keyboard according to claim 1, wherein The sensor is a tunneling magnetoresistance sensor.

4. The magnetic axis keyboard according to claim 1, wherein The analog-to-digital converter is an external analog-to-digital converter with a quantization accuracy of 14 bits, and each analog-to-digital converter includes two channels.

5. The magnetic axis keyboard according to claim 1, characterized in that, Each first-level processor transmits the filtered signal to the second-level processor through a parallel port; the communication between the first-level processor and the second-level processor uses a 16-bit parallel port.

6. The magnetic axis keyboard according to claim 1, characterized in that, The trigger result includes triggered and not triggered; The second-level processor is specifically used to determine the pressing depth of the key according to the filtered signal, and determine whether the key is triggered according to the pressing depth of the key and the trigger threshold; the trigger threshold of each key is different.

7. The magnetic axis keyboard according to claim 6, characterized in that, The magnetic axis keyboard further includes a communication unit; The communication unit is used to send the key value, pressing depth, trigger result and corresponding timestamp of the key to the cloud server in real time, and receive the trigger threshold of the key sent by the cloud server in real time; The trigger threshold of the key is obtained by inputting the key value, pressing depth, trigger result and corresponding timestamp of the key into the artificial intelligence large model by the cloud server, and extracting the depth-time feature of a single press and the continuous press time series feature through the artificial intelligence large model; The artificial intelligence large model updates the trigger threshold of the key in real time.

Images