Wireless passive gesture recognition system and method
By wrapping the ring-shaped coil of two-component Janus structural conductive fibers on human hands and combining them with external signal detection coils, wireless passive gesture signal acquisition is achieved using the inductive coupling principle, which solves the problem of limited gesture signal acquisition in the prior art and improves the accuracy and stability of recognition.
Patent Information
- Application Number
- CN202411916594.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-24
- Publication Date
- 2025-04-18
AI Technical Summary
The prior art is difficult to collect gesture signals in a wireless passive manner on the human hand side, which is limited by changes in ambient light and complex backgrounds.
The conductive fibers with a two-component Janus structure are wound on the five fingers of the human hand through five independent ring-shaped coils. Combined with the external signal detection coil, the inductive coupling principle is used to realize wireless passive detection of gesture signals.
It realizes the ability to wirelessly passively collect gesture signals on the human hand side, improves the accuracy and stability of gesture recognition, is highly adaptable, and is not affected by changes in ambient light.
Smart Images

Figure CN119847333A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of wireless passive sensing, and in particular relates to a wireless passive gesture recognition system and method. Background Art
[0002] With the rapid development of science and technology, the way of human-computer interaction is undergoing unprecedented changes. Gesture recognition technology, as an innovative means of interaction, is showing great application potential in many fields such as smart home, game control, and medical monitoring. The core of this technology is to accurately capture and analyze the user's gestures, and then interpret the relevant instructions or emotions. Traditional gesture recognition sensors include cameras, infrared sensors or lasers, but this method is often affected by the external environment. Changes in ambient light may affect the accuracy of the sensor, and complex backgrounds, interfering objects and other factors will also affect the recognition effect. In contrast, flexible sensors are better compatible with the curved surface of fingers and have higher flexibility and adaptability. Flexible sensors can be embedded in wearable devices such as gloves and watches. By capturing the subtle movements of the user's hands, real-time monitoring of gestures can be achieved, and the accuracy and stability of gesture recognition can be improved, which brings new possibilities for gesture recognition technology. However, how to collect gesture signals in a wireless and passive way at the human hand end is still a challenge. Summary of the invention
[0003] The object of the present invention is to provide a wireless passive gesture recognition system and method, so as to realize the collection of gesture signals at the human hand end in a wireless passive manner.
[0004] To achieve the above object, the present invention adopts the following technical solution:
[0005] A wireless passive gesture recognition system, comprising:
[0006] The conductive fiber of the double-component Janus structure comprises five independent ring-shaped coils, which are respectively wound on five fingers of the same human hand; the conductive fiber of the double-component Janus structure has conductive properties on one side and magnetic properties on the other side;
[0007] The external signal detection coil is placed parallel to the human hand wound with the conductive fiber of the two-component Janus structure, and is used to collect signals from five ring-shaped coils on five fingers. The external signal detection coil transmits the collected signals to a computer.
[0008] Furthermore, the cross section of the conductive fiber with the dual-component Janus structure is circular and is evenly divided into two components, one component is a magnetic layer, and the other component is a conductive layer.
[0009] Furthermore, the conductive fiber of the two-component Janus structure is prepared by a two-in-one nozzle through a wet spinning process; by adjusting the size of the two-in-one nozzle, the fiber diameter can be controlled within a range of 100 microns to 2000 microns.
[0010] Furthermore, the magnetic layer is formed by uniformly mixing a magnetic powder material and a TPU elastomer. Preferably, the magnetic powder material is one of neodymium iron boron, iron powder, nickel powder, and ferroferric oxide; the conductive layer is formed by uniformly mixing a conductive powder material and a TPU elastomer. Preferably, the conductive powder material is one of silver powder, gold powder, and copper powder.
[0011] Furthermore, the five ring-shaped coils of the conductive fiber with the dual-component Janus structure have different lengths and diameters.
[0012] Furthermore, the number of coil turns and the coil diameter of the conductive fiber with the dual-component Janus structure on each finger are set differently.
[0013] Furthermore, the coil turns and coil diameter setting parameters of the conductive fiber of the dual-component Janus structure on each finger are: the thumb coil is set to 12 turns and a diameter of 800 microns; the index finger coil is set to 10 turns and a diameter of 600 microns; the middle finger coil is set to 8 turns and a diameter of 500 microns; the ring finger coil is set to 6 turns and a diameter of 400 microns; the little finger coil is set to 4 turns and a diameter of 300 microns.
[0014] Furthermore, the coil diameter of the external signal acquisition coil is 20 cm.
[0015] A wireless passive gesture recognition method comprises the following steps:
[0016] Step a, arranging the conductive fibers of the two-component Janus structure, and winding five independent ring-shaped coils on five fingers of the same human hand respectively;
[0017] Step b, placing an external signal collection coil in parallel with a human hand wrapped with the conductive fiber of the two-component Janus structure, starting to collect signals from five coils on five fingers, and transmitting the signals to a computer;
[0018] Step c, when a human hand wrapped with the conductive fiber of the two-component Janus structure makes different movements, the five fingers are bent to different degrees, and the relative positions of the five coils on the five fingers and the external signal acquisition coil will change, resulting in changes in the size and resonant frequency of the return loss signal detected from the external coil. The data is analyzed and processed by a computer to realize the human gesture recognition function.
[0019] Beneficial effects: Compared with the prior art, the present invention has the following advantages:
[0020] (1) A wireless passive gesture recognition system and method of the present invention uses a two-component Janus structure conductive fiber arranged on a person's hand as a signal collection device, without the need to connect wires and power supply;
[0021] (2) A wireless passive gesture recognition system and method of the present invention can realize wireless passive detection of gestures through the inductive coupling principle of coils;
[0022] (3) In the present invention, the ring-shaped coil wound around the finger is based on a conductive fiber with a double-component Janus structure, one side of which is conductive and the other side is magnetic. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 is a schematic diagram of a wireless passive gesture recognition system;
[0024] Figure 2 This is a diagram of a conductive fiber with a two-component Janus structure;
[0025] Figure 3 It is a schematic diagram of the cross-sectional structure of a conductive fiber with a two-component Janus structure. DETAILED DESCRIPTION
[0026] The present invention will be further explained below in conjunction with the accompanying drawings and embodiments.
[0027] Example
[0028] like Figure 1 As shown, the wireless passive gesture recognition system includes a conductive fiber with a two-component Janus structure and an external signal detection coil 6, wherein: the conductive fiber with a two-component Janus structure includes five independent ring-shaped coils, which are respectively wound on five fingers of the same hand, namely, a little finger coil 1, a ring finger coil 2, a middle finger coil 3, an index finger coil 4, and a thumb coil 5. The conductive fiber with a two-component Janus structure has conductive properties on one side and magnetic properties on the other side; the external signal detection coil 6 is placed parallel to the human hand wound with the conductive fiber with a two-component Janus structure, and is used to collect signals from the five ring-shaped coils on the five fingers, and the external signal detection coil transmits the collected signals to the computer.
[0029] like Figure 2 and 3 As shown, the cross section of the conductive fiber of the dual-component Janus structure is circular and is evenly divided into two components, namely component 1 and component 2, component 1 is the magnetic layer, and component 2 is the conductive layer.
[0030] The preparation method of the conductive fiber with a two-component Janus structure is as follows: thermoplastic polyurethane (TPU) and DMF (N,N-dimethylformamide) are uniformly dissolved and mixed in a mass ratio of 1:5 to form a TPU solution; the TPU solution is uniformly mixed with neodymium iron boron (NdFeB) with a particle size of 5 microns in a mass ratio of 2:1 to form a TPU-NdFeB solution; the TPU solution is uniformly mixed with silver powder with a particle size of 2 microns in a mass ratio of 1:4 to form a TPU-Ag solution. Two-in-one nozzles with diameters of 800 microns, 600 microns, 500 microns, 400 microns, and 300 microns are selected respectively, and conductive fibers with a two-component Janus structure of different diameters are prepared by a wet spinning process.
[0031] Conductive fibers of a two-component Janus structure of different lengths and diameters are selected and wound around five fingers of a person, forming ring-shaped coils of different sizes on each finger, namely, little finger coil 1, ring finger coil 2, middle finger coil 3, index finger coil 4, and thumb coil 5.
[0032] The number of turns and the diameter of the coil on each finger are set differently, specifically: the thumb coil 5 is set to 12 turns and a diameter of 800 microns; the index finger coil 4 is set to 10 turns and a diameter of 600 microns; the middle finger coil 3 is set to 8 turns and a diameter of 500 microns; the ring finger coil 2 is set to 6 turns and a diameter of 400 microns; the little finger coil 1 is set to 4 turns and a diameter of 300 microns.
[0033] The coil diameter of the external signal acquisition coil 6 is 20 cm.
[0034] The wireless passive gesture recognition method comprises the following steps: arranging conductive fibers of a two-component Janus structure, placing an external signal acquisition coil in parallel with a human hand wrapped with the conductive fibers of the two-component Janus structure, starting to collect signals from five coils on five fingers, and transmitting the signals to a computer. When the human hand wrapped with the conductive fibers of the two-component Janus structure makes different movements, the five fingers bend to different degrees, and the relative positions of the five coils on the five fingers and the external signal acquisition coil will change, resulting in changes in the size and resonant frequency of the S11 (return loss) signal detected from the external coil. The data is analyzed and processed by a computer to realize the human gesture recognition function.
[0035] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.
Claims
1. A wireless passive gesture recognition system, characterized in that: include: The conductive fiber of the two-component Janus structure includes five independent ring-shaped coils, which are respectively wrapped around the five fingers of the same human hand; The conductive fiber of the dual-component Janus structure has conductive properties on one side and magnetic properties on the other side; The external signal detection coil is placed parallel to the human hand wound with the conductive fiber of the two-component Janus structure, and is used to collect signals from five ring-shaped coils on five fingers. The external signal detection coil transmits the collected signals to a computer.
2. A wireless passive gesture recognition system according to claim 1, characterized in that: The cross section of the conductive fiber with the dual-component Janus structure is circular and is evenly divided into two components, one component is a magnetic layer and the other component is a conductive layer.
3. A wireless passive gesture recognition system according to claim 1 or 2, characterized in that: The conductive fiber of the dual-component Janus structure is prepared by a two-in-one nozzle through a wet spinning process; the fiber diameter is controlled by adjusting the size of the two-in-one nozzle, and the range is 100 microns to 2000 microns.
4. A wireless passive gesture recognition system according to claim 2, characterized in that: The magnetic layer is formed by uniformly mixing magnetic powder material and TPU elastomer, and the magnetic powder material is one of neodymium iron boron, iron powder, nickel powder, and ferroferric oxide; the conductive layer is formed by uniformly mixing conductive powder material and TPU elastomer, and the conductive powder material is one of silver powder, gold powder, and copper powder.
5. The wireless passive gesture recognition system according to claim 1, characterized in that: The five ring-shaped coils of the conductive fiber with the dual-component Janus structure have different lengths and diameters.
6. The wireless passive gesture recognition system according to claim 1, characterized in that: The number of coil turns and the coil diameter of the conductive fiber of the dual-component Janus structure on each finger are set differently.
7. A wireless passive gesture recognition system according to claim 6, characterized in that: The coil number and coil diameter setting parameters of the conductive fiber of the dual-component Janus structure on each finger are as follows: the coil of the thumb is set to 12 turns and a diameter of 800 microns; the coil of the index finger is set to 10 turns and a diameter of 600 microns; the coil of the middle finger is set to 8 turns and a diameter of 500 microns; the coil of the ring finger is set to 6 turns and a diameter of 400 microns; and the coil of the little finger is set to 4 turns and a diameter of 300 microns.
8. The wireless passive gesture recognition system according to claim 1, characterized in that: The coil diameter of the external signal acquisition coil is 20 cm.
9. A wireless passive gesture recognition method, characterized in that: The following steps are involved: Step a, arranging the conductive fibers of the two-component Janus structure, and winding five independent ring-shaped coils on five fingers of the same human hand respectively; Step b, placing an external signal collection coil in parallel with a human hand wrapped with the conductive fiber of the two-component Janus structure, starting to collect signals from five coils on five fingers, and transmitting the signals to a computer; Step c, when a human hand wrapped with the conductive fiber of the two-component Janus structure makes different movements, the five fingers are bent to different degrees, and the relative positions of the five coils on the five fingers and the external signal acquisition coil will change, resulting in changes in the size and resonant frequency of the return loss signal detected from the external coil. The data is analyzed and processed by a computer to realize the human gesture recognition function.