Ai-based multimodal music longboard for generating MIDI signal by dynamic movement

Abstract

An AI-based multimodal music longboard for generating a MIDI signal by dynamic movement, comprising a longboard body (1). A pressure sensor assembly (2) is arranged on the upper surface of the longboard body (1); wheels (4) are rotatably mounted on the front part and the rear part of the lower surface of the longboard body (1) by means of wheel axles (3); a speed sensor (5) is arranged on each wheel (4); a microcontroller (6) and an accelerometer (7) are arranged at the bottom of the longboard body (1); the pressure sensor assembly (2), the speed sensors (5), and the accelerometer (7) are all electrically connected to the microcontroller (6); and the microcontroller (6) is wirelessly connected to an intelligent terminal device. Music is generated by dynamic movement, and a multi-sensory expression mode is provided for longboard dance riders, so that the present application can be used for real-time music creation in a rider dance, and music producers are attracted to explore new artistic forms, thereby building a bridge between sight and sound, thus allowing users to freely express themselves.

Description

AI-powered multimodal music longboard that generates MIDI signals through dynamic motion. Technical Field

[0001] This invention relates to the fields of smart hardware, music production, and sports entertainment technology, and in particular to an AI multimodal music longboard that generates MIDI signals through dynamic motion. Background Technology

[0002] Longboards are similar to wheeled surfboards or skis. Compared to regular skateboards, they have a longer and wider deck, larger, softer, and wider wheels, resulting in longer range, better road adaptability, faster learning curve, and better handling.

[0003] Modern longboard dance emphasizes rhythm and self-expression, but existing longboard and music equipment fails to fully support skaters in seamlessly integrating music and dance, resulting in a disconnect between dance and musical expression. Therefore, instead of following existing beats, skaters should be allowed to create music in real time through their movements.

[0004] Existing MIDI controllers and music production tools are typically limited to static environments, lacking support for dynamic dance art. They also lack multi-sensory interactive interfaces to help users express themselves visually and aurally, making it difficult to capture the randomness and flexibility of movement and music interaction. Therefore, there is an urgent need for an AI multimodal music longboard that generates MIDI signals through dynamic motion, capable of converting every movement of a dancer into a musical signal, thus providing a completely new approach to dynamic art creation. Summary of the Invention

[0005] The purpose of this invention is to provide an AI multimodal music longboard that generates MIDI signals through dynamic motion, in order to solve the problems existing in the prior art.

[0006] To achieve the above objectives, the present invention provides the following solution:

[0007] This invention provides an AI multimodal music longboard that generates MIDI signals through dynamic motion. The longboard includes a longboard body, a pressure sensor assembly on its upper surface, and wheels rotatably mounted on the front and rear of its lower surface via axles. Speed ​​sensors are mounted on the wheels. A microcontroller and an accelerometer are located at the bottom of the longboard body. The pressure sensor assembly, speed sensors, and accelerometer are all electrically connected to the microcontroller, which is wirelessly connected to a smart terminal device.

[0008] Preferably, the pressure sensor assembly includes seven pressure sensor units, which are distributed on the surface of the long plate body.

[0009] Preferably, the pressure sensor unit comprises, from top to bottom, an upper acrylic plate, a silicone mesh sheet, a pressure sensor, foam tape, and a lower acrylic plate, which are sequentially composited.

[0010] Preferably, the pressure sensor is a pressure-sensitive touch sensor.

[0011] Preferably, the speed sensor is a Hall effect sensor.

[0012] Preferably, the accelerometer is a triaxial accelerometer.

[0013] Preferably, the microcontroller is an ESP32 microcontroller.

[0014] Preferably, the microcontroller is wirelessly connected to the smart terminal device via Bluetooth.

[0015] Preferably, the smart terminal device is a smartphone or a smartwatch.

[0016] The present invention achieves the following beneficial technical effects compared to the prior art:

[0017] This invention provides an AI multimodal music longboard that generates MIDI signals through dynamic motion. The longboard includes a longboard body, a pressure sensor assembly on its upper surface, and wheels rotatably mounted on the front and rear of its lower surface via axles. Speed ​​sensors are mounted on the wheels. A microcontroller and an accelerometer are located at the bottom of the longboard body. The pressure sensor assembly, speed sensors, and accelerometer are all electrically connected to the microcontroller, which is wirelessly connected to a smart terminal device. By generating music through dynamic motion, this invention provides longboard dancers with a multi-sensory expression method. It can not only be used for real-time music creation in skateboarding dance but also attract music producers to explore new art forms, thus building a bridge between visual and auditory senses and helping users freely express themselves. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 is a schematic diagram of the upper surface of the AI ​​multimodal music longboard that generates MIDI signals through dynamic motion, as provided by the present invention.

[0020] Figure 2 is a schematic diagram of the lower surface of the AI ​​multimodal music longboard that generates MIDI signals through dynamic motion, as provided by the present invention.

[0021] Figure 3 is an exploded view of the pressure sensor unit in the AI ​​multimodal music longboard that generates MIDI signals through dynamic motion, as provided in this invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] The purpose of this invention is to provide an AI multimodal music longboard that generates MIDI signals through dynamic motion, in order to solve the problems existing in the prior art.

[0024] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0025] Example 1:

[0026] This embodiment provides an AI multimodal music board that generates MIDI signals through dynamic motion, as shown in Figures 1-3. It includes a board body 1, a pressure sensor assembly 2 on the upper surface of the board body 1, and wheels 4 rotatably mounted on the front and rear of the lower surface of the board body 1 via axles 3. Speed ​​sensors 5 are mounted on the wheels 4. A microcontroller 6 and an accelerometer 7 are located at the bottom of the board body 1. The pressure sensor assembly 2, speed sensors 5 and accelerometer 7 are all electrically connected to the microcontroller 6, and the microcontroller 6 is wirelessly connected to a smart terminal device.

[0027] In one implementation, the pressure sensor assembly 2 includes seven pressure sensor units distributed on the surface of the longboard body 1. The pressure sensor assembly 2 can capture the rider's foot position and pedaling intensity in real time. Different sensor areas correspond to preset audio samples (such as drum beats, chords, sound effects, etc.), and specific sound effects can be triggered by pedaling. The pressure sensor assembly 2 generates different MIDI parameter values ​​(Velocity) according to the pedaling force, realizing dynamic changes in volume, timbre, etc., and enhancing the expressiveness of the music.

[0028] In one implementation, the pressure sensor unit includes an upper acrylic plate 21, a silicone mesh sheet 22, a pressure sensor 23, a foam tape 24, and a lower acrylic plate 25, which are sequentially laminated from top to bottom, thereby achieving effective encapsulation of the pressure sensor 23.

[0029] As one implementation, the pressure sensor 23 is a pressure-sensitive touch sensor.

[0030] As one implementation method, the speed sensor 5 uses a Hall effect sensor, which can capture the gliding speed and map the speed value to the Tempo parameter of MIDI for dynamically adjusting the rhythm of the music. Users can speed up or slow down the music rhythm by changing the speed while gliding, so that the gliding action is synchronized with the music beat, creating a rhythmic experience that is seamlessly integrated with dance.

[0031] As one implementation, the accelerometer 7 uses a triaxial accelerometer to detect the tilt angle (Pitch and Roll) of the longboard in real time, and converts the data into MIDI control signals (CC signals) to adjust the pitch, filter parameters or add effects (such as distortion, echo, etc.).

[0032] As one implementation, the microcontroller 6 uses an ESP32 microcontroller, which can integrate and parse data from multiple sensors, eliminate noise and redundant signals, and ensure that the generated MIDI signal is accurate and stable.

[0033] In one implementation, the microcontroller 6 is wirelessly connected to the smart terminal device via Bluetooth, and data is transmitted to the smart terminal device in real time via the Bluetooth MIDI protocol.

[0034] As one implementation method, smart terminal devices use smartphones with dedicated music generation apps installed, or can achieve seamless music creation and performance through other music production software (AbletonLive, LogicPro, etc.).

[0035] This invention provides an AI multimodal music longboard that generates MIDI signals through dynamic motion. By generating music through dynamic motion, it provides longboard dancers with a multi-sensory way of expression. It can not only be used for real-time music creation in skateboarding dance, but also attract music producers to explore new art forms, thereby building a bridge between visual and auditory senses and helping users to express themselves freely.

[0036] This invention has illustrated its principles and implementation methods using specific examples. The descriptions of these embodiments are merely illustrative of the method and its core ideas; furthermore, those skilled in the art will recognize that modifications may be made to the specific implementation methods and application scope based on the principles of this invention. Therefore, the content of this specification should not be construed as limiting the invention.

Claims

1. An AI multimodal music longboard that generates MIDI signals through dynamic motion, comprising a longboard body, characterized in that: The upper surface of the long plate body is provided with a pressure sensor assembly. The front and rear parts of the lower surface of the long plate body are rotatably mounted with wheels via axles. The wheels are provided with speed sensors. The bottom of the long plate body is provided with a microcontroller and an accelerometer. The pressure sensor assembly, the speed sensor and the accelerometer are all electrically connected to the microcontroller. The microcontroller is wirelessly connected to a smart terminal device.

2. The AI ​​multimodal music longboard that generates MIDI signals through dynamic motion according to claim 1, characterized in that: The pressure sensor assembly includes seven pressure sensor units, which are distributed on the surface of the long plate body.

3. The AI ​​multimodal music longboard that generates MIDI signals through dynamic motion according to claim 2, characterized in that: The pressure sensor unit comprises, from top to bottom, an upper acrylic plate, a silicone mesh sheet, a pressure sensor, foam tape, and a lower acrylic plate, which are sequentially composited.

4. The AI ​​multimodal music longboard that generates MIDI signals through dynamic motion according to claim 3, characterized in that: The pressure sensor is a pressure-sensitive touch sensor.

5. The AI ​​multimodal music longboard that generates MIDI signals through dynamic motion according to claim 1, characterized in that: The speed sensor is a Hall effect sensor.

6. The AI ​​multimodal music longboard that generates MIDI signals through dynamic motion according to claim 1, characterized in that: The accelerometer is a triaxial accelerometer.

7. The AI ​​multimodal music longboard that generates MIDI signals through dynamic motion according to claim 1, characterized in that: The microcontroller used is an ESP32 microcontroller.

8. The AI ​​multimodal music longboard that generates MIDI signals through dynamic motion according to claim 1, characterized in that: The microcontroller is wirelessly connected to the smart terminal device via Bluetooth.

9. The AI ​​multimodal music longboard that generates MIDI signals through dynamic motion according to claim 1, characterized in that: The smart terminal device is a smartphone or a smartwatch.

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