CN213545222U - Gesture recognition flexible sensor based on physiological characteristics - Google Patents

Gesture recognition flexible sensor based on physiological characteristics Download PDF

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Publication number
CN213545222U
CN213545222U CN202023203407.4U CN202023203407U CN213545222U CN 213545222 U CN213545222 U CN 213545222U CN 202023203407 U CN202023203407 U CN 202023203407U CN 213545222 U CN213545222 U CN 213545222U
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sensing unit
sensing
gesture recognition
hand
substrate
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CN202023203407.4U
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彭玉鑫
王健翔
刘文明
孟濬
王健
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Zhejiang University ZJU
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Zhejiang University ZJU
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Abstract

The utility model belongs to a gesture recognition flexible sensor based on physiological characteristics, which comprises a flexible substrate and a sensing unit, wherein the flexible substrate is adhered to the back of a hand, and the sensing unit is arranged on the flexible substrate and is used for detecting the pressure of tendons of the back of the hand on the sensing unit; the flexible substrate can be suitable for the backs of hands with different sizes, the application range is wide, the motion state of tendons on the backs of hands can be accurately detected through the sensing unit, and then gestures can be accurately recognized. The sensing unit is arranged on the back of the hand and is far away from the finger joints, so that the influence on the movement of the hand is small, and the hand is more convenient and comfortable. And the destructiveness to the sensing unit is small when the sensor is used, and the reusability is high.

Description

Gesture recognition flexible sensor based on physiological characteristics
Technical Field
The utility model belongs to gesture detection sensor field especially relates to a flexible sensor of gesture recognition based on physiological characteristics.
Background
The gesture recognition sensing system is widely applied to the fields of medicine, motion, control, man-machine interaction and the like, is used for detecting and evaluating the activity level of fingers, and is commonly used for hand back rehabilitation evaluation, hand back motion mechanism research and the like. Typical approaches are glove-based sensing systems that integrate various sensing elements into the back of the glove, such as inertial sensors, fiber optic sensors, hall sensors, magnetic sensors, flexible bend sensors, and the like. However, wearing gloves may affect the motion and sensory functions of the hand, and the sensing element may also deviate from its original position during hand motion, resulting in low measurement accuracy and reusability.
SUMMERY OF THE UTILITY MODEL
The utility model aims to overcome the not enough of existence among the prior art and provide a gesture recognition flexible sensor based on physiological characteristics who does not have the influence and repeatability is high to hand motion and sensation function.
The purpose of the utility model is realized like this: a gesture recognition flexible sensor based on physiological characteristics comprises a flexible substrate and a sensing unit. The flexible substrate is adhered to the back of the hand, and the sensing unit is arranged on the flexible substrate and used for detecting the pressure of the tendons of the back of the hand on the sensing unit.
Preferably, the sensing unit comprises a positive electrode, a negative electrode, a sensing substrate and a sensing material. The sensing substrate is adhered to the flexible substrate, the positive electrode and the negative electrode are adhered to the sensing substrate, and the sensing material is connected between the positive electrode and the negative electrode.
Preferably, the sensing unit further comprises a package, the package is connected with the sensing substrate to hermetically package the sensing material, and the end portions of the positive electrode and the negative electrode are exposed out of the package and connected with an external transmission line.
Preferably, the sensing units are provided in plurality and are matched with tendons on the back of the hand.
Preferably, the sensing units are six and are respectively a first thumb sensing unit, a second thumb sensing unit, an index finger sensing unit, a middle finger sensing unit, a ring finger sensing unit and a little finger sensing unit, and the sensing units are used for respectively detecting the pressure generated by corresponding tendons when the thumb, the index finger, the middle finger, the ring finger and the little finger move.
Preferably, the distance between the second thumb sensing unit and the index finger sensing unit is greater than the distance between other adjacent sensing units.
Preferably, the flexible substrate is silica gel and is adhered to the back of the hand in a winding mode.
Preferably, the sensing substrate and the package are both made of PET.
Preferably, the sensing material is a graphene piezoresistive sensitive material.
The utility model discloses have following positive effect: the flexible substrate can be suitable for the backs of hands with different sizes, the application range is wide, the motion state of tendons on the backs of hands can be accurately detected through the sensing unit, and then gestures can be accurately recognized. The sensing unit is arranged on the back of the hand and is far away from the finger joints, so that the influence on the motion and the sense function of the hand is small, and the hand-operated electric hand is more convenient and comfortable. And the interference and damage to the sensing unit are small when the sensor is used, and the reusability is high.
Drawings
Fig. 1 is a schematic structural view of the utility model;
fig. 2 is a schematic structural view of the flexible substrate of the utility model;
fig. 3 is a schematic structural view of a sensing unit of the utility model;
fig. 4 is a schematic view of the utility model in use.
Detailed Description
Embodiment 1, as shown in fig. 1 to 4, a gesture recognition flexible sensor based on physiological characteristics includes a flexible substrate 1 and a sensing unit 2, wherein the flexible substrate 1 is adhered to the back of a hand, and the sensing unit 2 is disposed on the flexible substrate 1 and is used for detecting the pressure of tendons of the back of the hand on the sensing unit 2.
The flexible substrate 1 is silica gel, and one side surface of the flexible substrate 1 is pasted on the back of a hand in a winding mode. The other side of the flexible substrate 1 is fixed with the sensing unit 2, when a certain gesture is generated by finger movement, tendons on the back of a hand move to generate pressure on the sensing unit 2, and the sensing unit 2 transmits the detected pressure to a computer and other equipment for analysis through an externally connected transmission line. The flexible substrate 1 can be applied to the hand backs with different sizes by winding, and the application range is wide. The motion state of tendons on the back of the hand can be accurately detected through the sensing unit 2, and then gestures can be accurately recognized. The sensing unit 2 is arranged on the back of the hand and is far away from the finger joints, so that the influence on the motion and the sense function of the hand is small, and the hand is more convenient and comfortable. And the interference and damage to the sensing unit 2 are small when in use, and the reusability is high.
The sensing unit 2 comprises a positive electrode 201, a negative electrode 202, a sensing substrate 203 and a sensing material 204, wherein the sensing substrate 203 is adhered to the flexible substrate 1, the positive electrode 201 and the negative electrode 202 are adhered to the sensing substrate 203, and the sensing material 204 is connected between the positive electrode 201 and the negative electrode 202. The sensing material 204 may be printed on the positive electrode 201 and the negative electrode 202 by a 3D printer. The sensing material 204 is a graphene piezoresistive sensitive material.
The sensing material 204 is arranged perpendicular to the finger, when the tendon moves to generate pressure, the sensing material 204 deforms, so that the resistance of the sensing material 204 changes, the resistance change is converted into a pressure value generated by the tendon by the computer or the single chip microcomputer, and the gesture performed by the finger is judged according to the pressure value.
The sensing unit 2 further comprises a packaging member 205, the packaging member 205 is connected with the sensing substrate 203 to hermetically package the sensing material 204, and the end parts of the positive electrode 201 and the negative electrode 202 are exposed out of the packaging member 205 and connected with an external transmission line. The sensing substrate 203 and the package 205 are both made of PET.
The sensing material 204 is sealed by the package 205, so that the influence of the external environment on the sensing material 204 is reduced, the detection accuracy is improved, the sensing material 204 is protected, and the service life of the sensing unit 2 is prolonged.
The sensing unit is provided with a plurality of, with tendon looks adaptation on the back of the hand. Preferably, six sensing units are provided, namely a first thumb sensing unit 21, a second thumb sensing unit 22, an index finger sensing unit 23, a middle finger sensing unit 24, a ring finger sensing unit 25 and a small finger sensing unit 26, for respectively detecting the pressure generated by the corresponding tendons when the thumb, the index finger, the middle finger, the ring finger and the small finger are moved. The distance between the second thumb sensing unit 22 and the index finger sensing unit 23 is greater than the distance between other adjacent sensing units.
On the back of the hand, the thumb, the index finger and the ring finger all have two tendons, and the two tendons on the thumb are far away, so the tendons corresponding to the thumb are detected by using the first thumb sensing unit 21 and the second thumb sensing unit 22 respectively, and the tendons corresponding to the thumb are far away from the tendons corresponding to the other fingers, so the distance between the second thumb sensing unit 22 and the index finger sensing unit 23 is set to be larger than the distance between the other adjacent sensing units. Two tendons corresponding to the index finger, one of which is on the lower side of the other tendon, so that the exercise state of the tendon can be accurately obtained by using one index finger sensing unit 23. The two tendons of the ring finger are close to each other, and the motion state of the tendons can be accurately obtained by using one ring finger sensing unit 25.
The pressure generated by the tendons of five fingers during movement can be accurately detected through the six arranged sensing units, and then the gesture made by the fingers can be accurately identified through the pressure.
The above description is only a preferred embodiment of the present invention, and should not be taken as limiting the invention, and it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (9)

1. A gesture recognition flexible sensor based on physiological characteristics is characterized in that: the pressure sensor comprises a flexible substrate and a sensing unit, wherein the flexible substrate is adhered to the back of a hand, and the sensing unit is arranged on the flexible substrate and used for detecting the pressure of tendons of the back of the hand on the sensing unit.
2. The physiological feature based gesture recognition flexible sensor of claim 1, wherein: the sensing unit comprises a positive electrode, a negative electrode, a sensing substrate and a sensing material, wherein the sensing substrate is adhered to the flexible substrate, the positive electrode and the negative electrode are adhered to the sensing substrate, and the sensing material is connected between the positive electrode and the negative electrode.
3. The physiological feature based gesture recognition flexible sensor of claim 2, wherein: the sensing unit further comprises a packaging piece, the packaging piece is connected with the sensing substrate to hermetically package the sensing material, and the end parts of the positive electrode and the negative electrode are exposed out of the packaging piece and connected with an external transmission line.
4. The physiological feature based gesture recognition flexible sensor of claim 1, wherein: the sensing unit is provided with a plurality of, with tendon looks adaptation on the back of the hand.
5. The physiological feature based gesture recognition flexible sensor of claim 4, wherein: the sensing units are six, are respectively a first thumb sensing unit, a second thumb sensing unit, an index finger sensing unit, a middle finger sensing unit, a ring finger sensing unit and a little finger sensing unit, and respectively detect the pressure generated by corresponding tendons when the thumb, the index finger, the middle finger, the ring finger and the little finger move.
6. The physiological feature based gesture recognition flexible sensor of claim 5, wherein: the distance between the second thumb sensing unit and the index finger sensing unit is larger than the distance between other adjacent sensing units.
7. The physiological feature based gesture recognition flexible sensor of claim 1, wherein: the flexible substrate is silica gel and is pasted on the back of the hand in a winding mode.
8. The physiological feature based gesture recognition flexible sensor of claim 3, wherein: the sensing substrate and the packaging piece are both made of PET materials.
9. The physiological feature based gesture recognition flexible sensor of claim 2, wherein: the sensing material is a graphene piezoresistive sensitive material.
CN202023203407.4U 2020-12-28 2020-12-28 Gesture recognition flexible sensor based on physiological characteristics Active CN213545222U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202023203407.4U CN213545222U (en) 2020-12-28 2020-12-28 Gesture recognition flexible sensor based on physiological characteristics

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202023203407.4U CN213545222U (en) 2020-12-28 2020-12-28 Gesture recognition flexible sensor based on physiological characteristics

Publications (1)

Publication Number Publication Date
CN213545222U true CN213545222U (en) 2021-06-25

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