Voice control fitness equipment system

Abstract

The invention relates to the technical field of voice control, and discloses a voice control fitness equipment system, which comprises the following modules: a voice acquisition module, an AI processing module, a control instruction transmission module, a fitness equipment execution module and a feedback module, and also provides a voice control fitness equipment method. Comprising the following steps: acquiring a voice instruction of a user through a voice acquisition module; the voice instruction is recognized through the AI processing module, and a control instruction is generated; the control instruction is transmitted to the fitness equipment through the control instruction transmission module; and receiving and executing the control instruction through the fitness equipment execution module, and adjusting the display content or the operation state of the fitness equipment. The AI voice recognition technology based on the DEEPSEEK large model library is adopted, the technical effect of high-precision recognition of the natural language instruction of the user is achieved, the system understands diversified voice instructions through the deep learning model, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of voice control, and specifically to a voice control fitness equipment system. Background Art

[0002] With the popularization of intelligent fitness equipment, users' demand for the intelligence of fitness equipment is increasing day by day. Traditional fitness equipment usually relies on manual operation or simple voice command control, which is difficult to meet users' needs for convenience, personalization, and intelligent interaction. In recent years, voice control technology has gradually been applied to the field of fitness equipment, aiming to achieve automatic control of equipment through voice commands and improve the user experience.

[0003] Existing voice control fitness equipment mainly focuses on common equipment such as treadmills and exercise bikes. These devices usually achieve basic functions such as start, stop, and speed adjustment through voice commands. For example, users can start the treadmill by the voice command "Start running", or adjust the running speed of the device by "Increase speed". Some devices also support querying current exercise data such as speed, distance, and heart rate through voice. These applications have improved the operation convenience of users to a certain extent, but due to technical limitations, their functions are relatively single.

[0004] However, for existing voice control fitness equipment, the voice recognition function usually can only recognize a limited number of fixed commands, and it is difficult to process complex natural language commands. It usually relies on a single communication method, such as Bluetooth or wired connection, and is easily affected by environmental interference or device compatibility. Moreover, most existing devices lack personalized service functions and are difficult to provide customized fitness plans or suggestions according to users' needs. Therefore, the present invention provides a voice control fitness equipment system to solve the deficiencies existing in the prior art. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides a voice control fitness equipment system, which solves the problems that for existing voice control fitness equipment, the voice recognition function usually can only recognize a limited number of fixed commands, cannot process complex natural language commands, and most existing devices lack personalized service functions and cannot provide customized fitness plans or suggestions according to users' needs.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A voice control fitness equipment system includes the following modules: A voice collection module, which is used to collect users' voice commands and transmit the voice information to the AI processing module; An AI processing module, which is used to receive the voice information transmitted by the voice collection module, recognize the transmitted voice information and generate control commands; A control instruction transmission module for transmitting the control instructions generated by the AI processing module to the fitness equipment; A fitness equipment execution module for receiving and executing the control instructions to adjust the display content or operating state of the fitness equipment; A feedback module for providing feedback to the user on the instruction execution status or equipment state change through voice prompts.

[0007] Preferably, the AI processing module includes: A voice recognition unit for recognizing the user's voice instructions through an AI voice model; A control instruction generation unit for generating control instructions based on the recognition result; A voiceprint recognition unit for recognizing the voiceprint information of different users to provide personalized fitness services. Preferably, the voice recognition unit realizes the recognition of voice instructions through the DEEPAI large model library, specifically including: Uploading the voice information to the DEEPAI large model library for recognition; Obtaining the control information returned by DEEPAI and generating corresponding control instructions Preferably, the control instruction transmission module communicates with the fitness equipment through a serial port, specifically including: Transmitting the control instructions generated by the AI processing module to the fitness equipment through the serial port; The fitness equipment receives and executes the control instructions to adjust the display content or operating state.

[0008] Preferably, the fitness equipment execution module includes: A display content adjustment unit for adjusting the display content of the fitness equipment according to the control instructions; An operating state adjustment unit for adjusting the operating state of the fitness equipment according to the control instructions.

[0009] Preferably, the instruction execution status or equipment state change feedback to the user by the feedback module through voice prompts includes the following: Instruction execution feedback for informing the user of the execution result of the voice instruction; Equipment state feedback for informing the user of the current state of the fitness equipment; Fitness advice feedback for providing real-time advice based on the user's fitness data; Error prompt feedback for warning the user when an abnormality occurs in the system.

[0010] Preferably, the AI processing module defines the recognition of voice instructions through the following formula model function: Among them, P(w∣s) represents the posterior probability of recognizing the word w under the condition of the given speech signal s, P(s∣w) represents the likelihood probability of generating the speech signal s under the condition of the word w, P(w) represents the prior probability of the word w, and P(s) represents the marginal probability of the speech signal s.

[0011] Preferably, the steps for the AI processing module to generate control instructions include: Recognize the user's voice command through the voice recognition unit; Generate a control instruction according to the recognition result, where the control instruction includes adjusting the speed, resistance or display content of the fitness equipment; transmit the generated control instruction to the fitness equipment execution module through the control instruction transmission module.

[0012] Preferably, the voice commands collected by the voice collection module include the following contents: Device control instructions for controlling the operating state of the fitness equipment; Information query instructions for querying the current state of the fitness equipment; Fitness plan instructions for requesting the system to generate or adjust a fitness plan; Entertainment interaction instructions for requesting the system to provide entertainment content.

[0013] A method for voice control of a fitness equipment is also provided, including the following steps: Collect the user's voice command through the voice collection module; Recognize the voice command through the AI processing module and generate a control instruction; Transmit the control instruction to the fitness equipment through the control instruction transmission module; Receive and execute the control instruction through the fitness equipment execution module, and adjust the display content or operating state of the fitness equipment; Feed back the instruction execution situation or equipment state change to the user through the feedback module.

[0014] The present invention provides a voice control fitness equipment system. It has the following beneficial effects: 1. The present invention adopts the AI voice recognition technology based on the DEEPSEEK large model library, achieving the technical effect of accurately recognizing the user's natural language commands; compared with the technical solutions that rely on simple voice commands or manual operations in the prior art, it solves the problems of low recognition accuracy and inability to process complex commands, and through the deep learning model, the system can understand diverse voice commands, improving the user experience.

[0015] 2. The present invention adopts a technical solution that combines serial communication and wireless communication, achieving the effect of low-latency and high-reliability control instruction transmission. Compared with the technical solutions in the prior art that rely on a single communication method, it solves the problems of high transmission latency and susceptibility to interference. Through multi-path transmission and error detection technologies, the system can quickly and accurately transmit control instructions to fitness equipment, ensuring that the equipment responds in a timely manner.

[0016] 3. The present invention adopts voiceprint recognition and personalized voice feedback technologies, achieving the technical effect of providing customized fitness services for users. Compared with the technical solutions in the prior art that lack personalized interaction functions, it solves the problems of single user experience and inability to meet diverse needs. By recognizing the voiceprint characteristics of users, the system can provide personalized fitness plans and voice feedback, enhancing user stickiness.

[0017] 4. The present invention adopts a non-linear dynamics model and a safety protection function, achieving the technical effects of optimizing the dynamic response of the system and ensuring user safety. Compared with the technical solutions in the prior art that lack stability analysis and safety protection, it solves the problem of instability that is prone to occur under high load or complex environments. Through Lyapunov stability analysis and real-time monitoring functions, the system can operate stably in various environments, ensuring user safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is the system architecture diagram of the present invention; Figure 2 is the schematic diagram of the AI processing module of the present invention; Figure 3 is the schematic diagram of the fitness equipment execution module of the present invention; Figure 4 is the method flow chart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] Please refer to the attached Figures 1-3 , the embodiments of the present invention provide a voice-controlled fitness equipment system, including the following modules: For the voice collection module, it is used to collect the voice instructions of users and transmit the voice information to the AI processing module. In this embodiment, in this embodiment, the voice collection module realizes the collection and transmission of voice instructions through the MIC small board.

[0021] Generally, the MIC small board, as the core component of the voice collection module, is responsible for converting the user's voice signal into a digital signal and transmitting it to the AI processing module via wired or wireless means. Specifically, the design of the MIC small board takes into account the particularity of the fitness environment and can effectively capture the user's voice commands in a noisy environment.

[0022] As an option, the MIC small board can integrate a noise reduction function. The MIC small board adopts directional microphone technology, which can effectively filter out environmental noise and ensure the clarity of the voice signal. Specifically, the directional microphone uses beamforming technology to concentrate the received voice signal in the direction of the user, reducing noise interference from other directions.

[0023] Specifically, the user issues voice commands in natural language, such as "Increase the speed to 8 km / h" or "Display the current heart rate". After the MIC small board collects the voice signal, it converts it into a digital signal and transmits it to the AI processing module via serial port or Wi-Fi. During the transmission process, the system will preprocess the voice signal, including operations such as noise reduction and normalization, to ensure the quality of the voice signal.

[0024] In a possible implementation, the voice collection module also supports the collection of multi-user voice commands. Specifically, the system can distinguish different users' voice commands through voiceprint recognition technology. For example, when multiple users use fitness equipment simultaneously, the system can identify each user's voice command based on the voiceprint characteristics and provide personalized services.

[0025] As an option, the voice collection module can also integrate a voice activation function. Generally, the voice activation function wakes up the system through keywords. For example, when the user says "Start fitness", the system will automatically start and enter the standby state. Specifically, the voice activation function determines whether the user has issued a valid voice command by detecting a specific voice pattern. The mathematical model of the voice collection module can be expressed as: x(t) = s(t) + n e (t); where x(t) represents the collected voice signal, s(t) represents the user's voice command, and n(t) represents the environmental noise.

[0026] In a possible implementation, the system performs noise reduction processing on the voice signal through the following formula: where represents the voice signal after noise reduction, represents the estimated environmental noise, and x(t) represents the collected voice signal.

[0027] As an option, noise reduction processing can be achieved through an adaptive filtering algorithm. Specifically, the adaptive filtering algorithm continuously adjusts the parameters of the filter to make the output signal as close as possible to the user's voice command s(t).

[0028] In a possible implementation, the voice acquisition module also supports real-time feedback of voice commands. When the system detects a user's voice command, it will emit a sound prompt through the speaker to inform the user that the command has been received. For example, when the user says "Start running", the system will prompt through the speaker "Running mode has been started".

[0029] As an option, the voice acquisition module can also integrate the storage function of voice commands. The system will store the user's voice commands locally or in the cloud for subsequent analysis and processing. Specifically, the stored voice commands can be used to optimize the voice recognition model and improve the recognition accuracy of the system.

[0030] In a possible implementation, the system adopts a low-power design to ensure that the voice acquisition module does not consume too much power during long-term use. At the same time, the system optimizes the transmission protocol to reduce the transmission delay of voice commands and ensure that users can obtain instant feedback.

[0031] For the AI processing module, it is used to receive the voice information transmitted by the voice acquisition module, recognize the transmitted voice information and generate control commands. In this embodiment, the AI processing module realizes the recognition of voice commands and the generation of control commands through the DEEPSEEK large model library.

[0032] Generally, the AI processing module includes a voice recognition unit, a control command generation unit and a voiceprint recognition unit. The voice recognition unit is responsible for converting the voice signal into text information. The control command generation unit generates control commands according to the text information. The voiceprint recognition unit is used to recognize the voiceprint information of different users and provide personalized fitness services.

[0033] As an option, the voice recognition unit realizes the recognition of voice commands through the DEEPSEEK large model library. The DEEPSEEK large model library is based on a deep neural network and can process complex natural language commands. Specifically, the voice recognition unit uploads the voice signal to the DEEPSEEK large model library for recognition and obtains the processed control information. Specifically, the mathematical model of voice recognition can be expressed as: Among them, P(w∣s) represents the posterior probability of recognizing the word w under the condition of the given speech signal s, P(s∣w) represents the likelihood probability of generating the speech signal s under the condition of the word w, P(w) represents the prior probability of the word w, and P(s) represents the marginal probability of the speech signal s.

[0034] In a possible implementation, the system optimizes the accuracy of speech recognition through the following formula: Among them, represents the most likely word recognized by the system, w is the word variable, and P(w∣x) represents under the condition of the given speech signal x.

[0035] As an option, the control instruction generation unit adopts rule engine technology. The control instruction generation unit generates corresponding control instructions according to the output of the speech recognition unit. For example, when the user says "increase speed", the system will generate a speed adjustment instruction. Specifically, the control instruction generation unit maps natural language instructions to specific control instructions through the rule engine.

[0036] In a possible implementation, the control instruction generation unit also supports the dynamic adjustment function. Specifically, the system can dynamically adjust the generation strategy of control instructions according to the user's fitness data. For example, when the user's heart rate is too high, the system will automatically reduce the exercise intensity to ensure the user's safety.

[0037] As an option, the voiceprint recognition unit adopts voiceprint feature extraction technology. The voiceprint recognition unit identifies different users by analyzing the voiceprint features of the user. The voiceprint features include the frequency, amplitude, etc. of the voice. Specifically, the voiceprint recognition unit extracts voiceprint features through the following formula: Among them, f represents the voiceprint feature, x(t) represents the collected speech signal, T represents the time window, and e -j2πft dt represents the basis function in the Fourier transform.

[0038] In a possible implementation, the voiceprint recognition unit also supports the multi-user recognition function. The system can distinguish the voice instructions of different users through voiceprint features. For example, when multiple users use fitness equipment at the same time, the system can identify the voice instructions of each user according to the voiceprint features and provide personalized services.

[0039] As an option, the AI processing module also supports the real-time feedback function of voice instructions. When the system detects the user's voice instruction, it will give a sound prompt through the speaker to inform the user that the instruction has been received. For example, when the user says "start running", the system will prompt through the speaker "Running mode has been started".

[0040] Specifically, the design of the AI processing module also takes into account the optimization of power consumption and latency. Through low-power design, the system ensures that the AI processing module does not consume excessive power during long-term use. At the same time, the system reduces the processing latency of voice commands through optimized algorithms to ensure that users can obtain instant feedback.

[0041] For the control instruction transmission module, which is used to transmit the control instructions generated by the AI processing module to the fitness equipment. In this embodiment, the control instruction transmission module realizes the transmission of control instructions through serial communication.

[0042] Generally, serial communication has the characteristics of high reliability and low latency, and is suitable for the transmission of control instructions in the fitness equipment system. Specifically, the control instruction transmission module transmits the control instructions generated by the AI processing module to the fitness equipment execution module through the serial port.

[0043] As an option, the control instruction transmission module can also adopt wireless communication technology. The system realizes the transmission of control instructions through wireless communication technologies such as Wi-Fi or Bluetooth. Specifically, wireless communication technology can avoid the limitations of wired connections and improve the flexibility and application scope of the system.

[0044] Specifically, after the AI processing module generates control instructions, the control instruction transmission module transmits the instructions to the fitness equipment execution module through serial or wireless communication technology. During the transmission process, the system will verify the control instructions to ensure the integrity and accuracy of the instructions.

[0045] In a possible implementation, the control instruction transmission module also supports multi-device communication functions. Specifically, the system can communicate with multiple fitness equipment simultaneously through the control instruction transmission module. For example, when the user uses a treadmill and an exercise bike at the same time, the system can adjust the operating states of the two devices according to the user's instructions.

[0046] As an option, the control instruction transmission module can also integrate error detection and correction functions. Generally, error detection and correction functions are implemented through check codes. Specifically, when the system transmits control instructions, it will attach a check code, and the receiving end detects the integrity of the instructions through the check code. If an error is detected, the system will automatically request retransmission to ensure the accuracy of the instructions. The mathematical model of the control instruction transmission module can be expressed as: y(t)=h(t)·c(t)+n c (t); where y(t) represents the signal received by the receiving end, c(t) represents the control instruction, h(t) represents the channel response function, and n c (t) represents the channel noise.

[0047] In a possible implementation, the system optimizes the transmission of control instructions through the following formula: Wherein, represents the control instruction estimated by the system, y(t) is the signal received by the receiving end, h(t) represents the channel response function, and c(t) represents the control instruction. represents selecting the control instruction that minimizes the error function among all possible control instructions c(t). as the estimation result.

[0048] As an option, the control instruction transmission module can also adopt multi-path transmission technology. The system transmits control instructions simultaneously through multiple paths to improve the reliability of transmission. For example, the system can transmit control instructions through the serial port and Wi-Fi simultaneously to ensure that at least one path can successfully transmit.

[0049] In a possible implementation, the control instruction transmission module also supports the real-time feedback function. When the control instruction is transmitted successfully, the system will send an audible prompt to the user through the feedback module to inform the user that the instruction has been executed. For example, when the user issues an instruction "increase speed", the system will prompt "speed has increased" through the speaker.

[0050] As an option, the control instruction transmission module can also integrate a priority scheduling function, which is implemented through a priority queue. Specifically, the system will dynamically adjust the transmission order according to the urgency of the control instruction. For example, when the user issues an instruction "emergency stop", the system will give priority to transmitting this instruction to ensure that the device can stop in time.

[0051] Specifically, the design of the control instruction transmission module also considers the optimization of power consumption and latency. The system ensures that the control instruction transmission module will not consume too much power during long-term use through low-power design. At the same time, the system reduces the transmission latency of control instructions by optimizing the transmission protocol to ensure that users can obtain instant feedback.

[0052] For the fitness equipment execution module, it is used to receive and execute control instructions to adjust the display content or operating state of the fitness equipment. In this embodiment, the fitness equipment execution module adjusts the display content or operating state of the fitness equipment by receiving the control instructions sent by the control instruction transmission module.

[0053] Generally, the fitness equipment execution module includes a display content adjustment unit and an operating state adjustment unit. The display content adjustment unit is responsible for adjusting the display content of the device according to the control instruction, and the operating state adjustment unit is responsible for adjusting the operating state of the device according to the control instruction.

[0054] As an option, the display content adjustment unit adopts dynamic display technology. The display content adjustment unit uses a liquid crystal display (LCD) or an organic light-emitting diode (OLED) display to display the operating status of the device in real time. For example, when the user queries the current speed, the system will display the current speed value on the screen.

[0055] Specifically, the mathematical model of the display content adjustment unit can be expressed as: D(t) = f d (c(t), d(t)); where D(t) represents the display content, c(t) represents the control instruction, d(t) represents the operating status of the device, and f d represents the display content adjustment function.

[0056] In a possible implementation, the system optimizes the adjustment of the display content through the following formula: where D(t) represents the display content optimized by the system, c(t) represents the control instruction, d(t) represents the operating status of the device, means that among all possible display contents D(t), the display content that minimizes the error function is selected as the optimization result.

[0057] As an option, the operating status adjustment unit adopts motor control technology. The operating status adjustment unit adjusts the operating status of the device by controlling the speed and torque of the motor. For example, when the user issues an instruction of "increase speed", the system will increase the operating speed of the device by controlling the motor speed.

[0058] Specifically, the mathematical model of the operating status adjustment unit can be expressed as: M(t) = f m (c(t), d(t)); where M(t) represents the control signal of the motor, c(t) represents the control instruction, d(t) represents the operating status of the device, and f m represents the motor control function.

[0059] In a possible implementation, the system optimizes the control signal of the motor through the following formula: where, represents the control signal of the motor optimized by the system, M(t) represents the control signal of the motor, c(t) represents the control instruction, d(t) represents the operating status of the device, means that among all possible motor control signals M(t), the control signal that minimizes the error function is selected As the optimization result.

[0060] As an option, the fitness equipment execution module also supports the multi-device collaboration function. The system can control the operating states of multiple devices simultaneously through the fitness equipment execution module. For example, when the user uses a treadmill and an exercise bike at the same time, the system can adjust the operating states of the two devices respectively according to the user's instructions.

[0061] In a possible implementation, the fitness equipment execution module also supports the real-time feedback function. After the control instruction is executed successfully, the system will send a sound prompt to the user through the feedback module to inform the user that the instruction has been executed. For example, when the user issues an instruction of "increase speed", the system will prompt "The speed has been increased" through the speaker.

[0062] As an option, the fitness equipment execution module can also integrate the safety protection function. The safety protection function ensures the safety of the user by monitoring the operating state of the equipment. For example, when the equipment detects an abnormal situation, the system will automatically stop the operation of the equipment and send a warning to the user through the feedback module.

[0063] Specifically, the design of the fitness equipment execution module also takes into account the optimization of power consumption and latency. In a possible implementation, the system ensures that the fitness equipment execution module does not consume too much power during long-term use through low-power design. At the same time, the system reduces the execution latency of control instructions through optimizing the control algorithm to ensure that the user can obtain immediate feedback.

[0064] For the feedback module, it is used to feedback the instruction execution situation or the change of equipment state to the user through sound prompts. In this embodiment, the feedback module sends a sound prompt to the user through the speaker to feedback the instruction execution situation or the change of equipment state.

[0065] Generally, the feedback module receives the status information from the fitness equipment execution module or the instruction execution result of the AI processing module, and sends a sound prompt to the user through the speaker. Specifically, the design of the feedback module takes into account the particularity of the fitness environment and can effectively transmit information in a noisy environment.

[0066] As an option, the feedback module can adopt multi-channel audio output technology. The system divides the sound prompts into different priorities through multi-channel audio output technology. For example, emergency prompts (such as equipment failures) are output through high-priority channels to ensure that the user can hear them in time.

[0067] Specifically, when the fitness equipment execution module completes the execution of the control instruction or the device status changes, the feedback module will receive the corresponding status information. The system generates a voice prompt based on the status information and emits it to the user through the speaker. For example, when the user issues the "start running" instruction, the system will prompt "Running mode has been started" through the speaker.

[0068] In a possible implementation, the feedback module also supports the personalized voice feedback function. The system can provide personalized voice feedback according to the user's voiceprint characteristics. When the system identifies a specific user, it will use the voice style preferred by the user for feedback.

[0069] As an option, the feedback module can also integrate text-to-speech technology. The text-to-speech technology generates a voice prompt through a text-to-speech (TTS) engine. The system converts the status information into text and then generates a voice signal through the TTS engine. When the device detects that the user's heart rate is too high, the system will generate a voice prompt of "Please reduce the exercise intensity". Specifically, the mathematical model of the feedback module can be expressed as: A(t) = f a (d(t), u(t)); where A(t) represents the generated voice prompt, d(t) represents the device status information, u(t) represents the user's voiceprint characteristics, and f a represents the voice prompt generation function.

[0070] In a possible implementation, the system optimizes the generation of the voice prompt through the following formula: where represents the optimized voice prompt of the system, A(t) represents the generated voice prompt, d(t) represents the device status information, u(t) represents the user's voiceprint characteristics, represents selecting the voice prompt that minimizes the error function among all possible voice prompts A(t) as the optimization result.

[0071] As an option, the feedback module can also integrate the volume adaptive function. The system can dynamically adjust the volume of the voice prompt according to the ambient noise level. When the ambient noise is large, the system will automatically increase the volume to ensure that the user can hear the prompt.

[0072] In a possible implementation, the feedback module also supports the multilingual feedback function. The system can provide multilingual voice feedback according to the user's language preference. When the user is set to Chinese, the system will use Chinese for voice prompts.

[0073] As an option, the feedback module can also integrate the storage function of voice prompts. The system will store the voice prompts locally or in the cloud for subsequent analysis and processing. The stored voice prompts can be used to optimize the voice synthesis model and improve the voice quality of the system.

[0074] Specifically, the design of the feedback module also considers the optimization of power consumption and latency. The system ensures that the feedback module does not consume too much power during long-term use through low-power design. At the same time, the system reduces the generation latency of voice prompts by optimizing the voice synthesis algorithm to ensure that users can obtain immediate feedback.

[0075] A method for voice-controlled fitness equipment described below can be correspondingly referred to the voice-controlled fitness equipment system described above.

[0076] Please refer to the appendix Figure 4 The present invention also provides a method for voice-controlled fitness equipment, including the following steps: S1. Collect the user's voice command through the voice acquisition module; S2. Identify the voice command through the AI processing module and generate a control command; S3. Transmit the control command to the fitness equipment through the control command transmission module; S4. Receive and execute the control command through the fitness equipment execution module to adjust the display content or operation state of the fitness equipment; S5. Feedback the execution situation of the command or the change of the device state to the user through the feedback module.

[0077] For step S1, the voice acquisition module collects the user's voice command through a microphone (MIC small board). The user can issue commands in natural language, such as "increase speed" or "display current heart rate".

[0078] Specifically, the voice acquisition module converts the user's voice signal into a digital signal, and the system filters out environmental noise through noise reduction technology (such as adaptive filtering algorithm) to ensure the clarity of the voice signal.

[0079] For step S2, the user's voice command is identified through an AI voice model (such as the DEEPAI large model library), and a corresponding control command is generated.

[0080] Specifically, the voice recognition unit converts the voice signal into text information through natural language processing (NLP) technology. The control command generation unit generates a control command according to the recognition result, such as adjusting the speed, resistance or display content. The voiceprint recognition unit provides personalized fitness services by analyzing the user's voiceprint characteristics.

[0081] For step S3, the control instruction transmission module transmits the control instruction to the fitness equipment through a serial port or wireless communication technology (such as Wi-Fi, Bluetooth).

[0082] Specifically, the system ensures the integrity and accuracy of the control instruction through an error detection and correction function (such as a checksum). If a transmission error is detected, the system will automatically request a retransmission to ensure the reliability of the instruction.

[0083] For step S4, the fitness equipment execution module receives the control instruction and adjusts the display content or operation state of the equipment.

[0084] Specifically, the display content adjustment unit adjusts the display content of the equipment according to the control instruction, such as displaying information such as the current speed and heart rate. The operation state adjustment unit adjusts the operation state of the equipment according to the control instruction, such as adjusting the speed of the treadmill or the resistance of the exercise bike.

[0085] For step S5, the feedback module issues a sound prompt to the user through a speaker to feedback the instruction execution situation or the change of the equipment state.

[0086] Specifically, the system generates a sound prompt through a text-to-speech technology (TTS engine). The feedback content includes the instruction execution result (such as "The speed has increased"), the equipment state information (such as "The current speed is 8 km / h"), and fitness suggestions (such as "Please reduce the exercise intensity").

[0087] The method of this embodiment can be used to implement the above system embodiment, and its principle and technical effect are similar, which will not be elaborated here.

[0088] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A voice-controlled fitness equipment system, characterized in that, It includes the following modules: A voice collection module, which is used to collect the user's voice commands and transmit the voice information to the AI processing module; An AI processing module, which is used to receive the voice information transmitted by the voice collection module, recognize the transmitted voice information and generate control commands; A control command transmission module, which is used to transmit the control commands generated by the AI processing module to the fitness equipment; A fitness equipment execution module, which is used to receive and execute the control commands and adjust the display content or operating state of the fitness equipment; A feedback module, which is used to feedback the instruction execution situation or equipment state change to the user through voice prompts.

2. The voice-controlled fitness equipment system according to claim 1, characterized in that, The AI processing module includes: a voice recognition unit, which is used to recognize the user's voice commands through the AI voice model; A control command generation unit, which is used to generate control commands according to the recognition results; A voiceprint recognition unit, which is used to recognize the voiceprint information of different users and provide personalized fitness services.

3. A voice controlled fitness equipment system according to claim 2, characterized in that: The voice recognition unit realizes the recognition of voice commands through the DEEPSEEK large model library, specifically including: Uploading the voice information to the DEEPSEEK large model library for recognition; Obtaining the control information returned by DEEPSEEK and generating corresponding control commands.

4. A voice-controlled fitness equipment system according to claim 1, wherein, The control command transmission module communicates with the fitness equipment through the serial port, specifically including: Transmitting the control commands generated by the AI processing module to the fitness equipment through the serial port; The fitness equipment receives and executes the control commands and adjusts the display content or operating state.

5. The voice-controlled fitness equipment system according to claim 1, wherein The fitness equipment execution module includes: A display content adjustment unit, which is used to adjust the display content of the fitness equipment according to the control commands; An operating state adjustment unit, which is used to adjust the operating state of the fitness equipment according to the control commands.

6. The voice control fitness equipment system according to claim 1, wherein The instruction execution situation or equipment state change feedback to the user by the feedback module through voice prompts includes the following contents: Instruction execution feedback, which is used to inform the user of the execution result of the voice instruction; Equipment state feedback, which is used to inform the user of the current state of the fitness equipment; Fitness advice feedback, which is used to provide real-time advice according to the user's fitness data; Error prompt feedback, which is used to issue a warning to the user when an abnormality occurs in the system.

7. A voice-controlled fitness equipment system according to claim 1, characterized in that, The AI processing module defines the recognition of voice commands through the following formula model function: Among them, P(w∣s) represents the posterior probability of recognizing the word w under the condition of the given voice signal s, P(s∣w) represents the likelihood probability of generating the voice signal s under the condition of the word w, P(w) represents the prior probability of the word w, and P(s) represents the marginal probability of the voice signal s.

8. The voice-controlled fitness equipment system according to claim 1, characterized in that: The steps for the AI processing module to generate control commands include: Recognizing the user's voice commands through the voice recognition unit; Generating control commands according to the recognition results, and the control commands include adjusting the speed, resistance or display content of the fitness equipment; Transmitting the generated control commands to the fitness equipment execution module through the control command transmission module.

9. The voice-controlled fitness equipment system according to claim 1, wherein, The voice commands collected by the voice collection module include the following contents: Equipment control commands, which are used to control the operating state of the fitness equipment; Information query commands, which are used to query the current state of the fitness equipment; Fitness plan commands, which are used to request the system to generate or adjust the fitness plan; Entertainment interaction commands, which are used to request the system to provide entertainment content.

10. A method for a voice-controlled fitness equipment, applied to a voice-controlled fitness equipment system according to any one of claims 1-9, characterized in that, Including the following steps: Collect the voice commands of the user through the voice acquisition module; Identify the voice commands through the AI processing module and generate control commands; Transmit the control commands to the fitness equipment through the control command transmission module; Receive and execute the control commands through the fitness equipment execution module to adjust the display content or operating state of the fitness equipment; Feedback the instruction execution situation or equipment state change to the user through the feedback module.

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