CN211155811U - Monitoring bracelet equipment containing gesture recognition - Google Patents
Monitoring bracelet equipment containing gesture recognition Download PDFInfo
- Publication number
- CN211155811U CN211155811U CN201921604050.5U CN201921604050U CN211155811U CN 211155811 U CN211155811 U CN 211155811U CN 201921604050 U CN201921604050 U CN 201921604050U CN 211155811 U CN211155811 U CN 211155811U
- Authority
- CN
- China
- Prior art keywords
- processing unit
- attitude
- central processing
- data
- gesture recognition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Abstract
The utility model relates to the technical field of gesture recognition, in particular to a monitoring bracelet device containing gesture recognition, which comprises a bracelet device body, a central processing unit arranged in the bracelet device body, and a triaxial gyroscope, a triaxial accelerometer and a muscle electric sensor which are connected with the central processing unit; the central processing unit comprises a storage module; and the central processing unit processes and acquires the attitude parameters, and completes the identification of the attitude and outputs a corresponding attitude command by comparing the attitude parameters with a pre-established attitude motion identification model. The utility model discloses following beneficial effect has: the gesture recognition is more accurate by adopting a mode of combining the bioelectricity signal and the six-axis sensor; the system can not only carry out motion standard monitoring, but also be suitable for people to detect daily activity data, obtain various index parameters of human bodies and remotely and intelligently control related equipment; the application scenes are various, the gesture action can be detected, and an operation control mode is provided.
Description
Technical Field
The utility model relates to an attitude identification technical field especially relates to a basic monitoring bracelet equipment that contains attitude identification.
Background
With the development of social economy and the improvement of living standard of people, the service industry is developed more and more vigorously, and for example, bank workers, service station workers, nursing workers and the like often have certain requirements on service actions, so that the service actions need to be standardized and monitored.
The existing monitoring of the action of service personnel is to record videos in advance, and then watch the related videos for comparison, so that a large amount of watching time and a large amount of manpower are needed to be consumed to watch the related videos, and when the number of video samples is large, the operation is time-consuming and labor-consuming.
Disclosure of Invention
The utility model discloses a main aim at overcomes not enough among the prior art, provides a monitoring bracelet equipment who contains gesture recognition. The equipment has the advantages of accurate gesture recognition, gesture remote control, wide application range and the like.
The utility model discloses a realize that the technical scheme that its technical purpose adopted is: a monitoring bracelet device containing gesture recognition comprises a bracelet device body and a display screen, and is structurally characterized by further comprising a central processing unit arranged in the bracelet device body, and a three-axis gyroscope, a three-axis accelerometer and a muscle electric sensor which are connected with the central processing unit;
the three-axis gyroscope is used for acquiring first data;
the triaxial accelerometer acquires second data;
the muscle electric sensor obtains bioelectrical signal data in an induction mode;
the central processing unit comprises a storage module for storing a pre-established gesture motion recognition model;
the central processing unit combines the first data with the second data to obtain specific motion information data; the central processing unit combines the bioelectricity signal data with the motion information data to obtain specific and more accurate attitude parameters, the attitude corresponding to the attitude parameters is determined through comparison of the attitude parameters with a pre-established attitude action recognition model in the storage module, and the central processing unit completes attitude recognition and outputs corresponding attitude instructions.
Preferably, this internal gravity-feed tank and the GPS chip that still are equipped with of bracelet equipment, gravity-feed tank obtains the focus data, and central processing unit combines motion information data and focus data and obtains the meter step data.
Preferably, this internal bluetooth module and the wireless communication module that still is equipped with of bracelet equipment can be connected with other intelligent equipment, through the discernment of gesture to the corresponding gesture instruction of other intelligent equipment output that have connected.
Preferably, this internal rhythm of the heart sensor that still is equipped with of bracelet equipment, rhythm of the heart sensor is photoelectric transmission rhythm of the heart sensor.
Preferably, still be equipped with the microphone in the bracelet equipment body, including human sound microphone and bone conduction microphone.
The utility model has the advantages that: the utility model adopts the combination of the bioelectricity signal and the six-axis sensor, so that the gesture recognition is more accurate; the system is not only suitable for monitoring the action specification of service workers, but also suitable for more people to detect daily activity data, obtain various index parameters of a human body and remotely and intelligently control related equipment; the application scene is various, and application scope is wide, not only can detect the gesture action, more provides an operation control mode, has solved the problem that some crowds can't operate the smart machine.
Drawings
Fig. 1 is the utility model relates to a structural block diagram of monitoring bracelet equipment containing gesture recognition.
Fig. 2 is the utility model relates to a monitoring bracelet equipment's gesture parameter acquisition structure block diagram that contains gesture recognition.
Wherein: 1. a bracelet equipment body; 2. a central processing unit; 22. A storage module; 3. a three-axis gyroscope; 4. a three-axis accelerometer; 5. a muscle electric sensor; 6. a gravity sensing sensor; 7. a Bluetooth module; 8. a heart rate sensor; 9. a microphone.
Detailed Description
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate the position or positional relationship based on the position or positional relationship shown in the drawings, or the position or positional relationship which is usually placed when the product of the present invention is used, and are only for convenience of description of the present invention and simplification of description, but do not indicate or imply that the device or element to which the description refers must have a specific position, be constructed and operated in a specific orientation, and therefore, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention is further described in detail through the accompanying drawings and embodiments. It should be understood, however, that the description herein of specific embodiments is only intended to illustrate the invention and not to limit the scope of the invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
Referring to fig. 1 and 2, as shown in the figures, a monitoring bracelet device including gesture recognition includes a bracelet device body 1 and a display screen, and further includes a central processor 2 disposed in the bracelet device body 1, and a triaxial gyroscope 3, a triaxial accelerometer 4, and a myoelectric sensor 5 connected to the central processor 2;
the bracelet body outer mold is thermoplastic polyurethane elastomer rubber material, and the material is more laminated skin, wears more comfortablely.
The three-axis gyroscope 3 is acquired as first data;
the triaxial accelerometer 4 acquires as second data;
the muscle electric sensor 5 obtains bioelectrical signal data by induction;
the central processing unit 2 comprises a storage module 22 for storing a pre-established gesture motion recognition model;
the central processing unit 2 combines the first data with the second data to obtain specific motion information data; the central processing unit 2 combines the bioelectricity signal data with the motion information data to obtain specific and more accurate attitude parameters, the attitude corresponding to the attitude parameters is determined through comparison of the attitude parameters with a pre-established attitude action recognition model in the storage module, and the central processing unit 2 completes recognition of the attitude and outputs corresponding attitude instructions.
Particularly, the method can be applied to monitoring the gesture action of a service worker and checking whether the gesture action is standard or not; after the intelligent device is connected with other intelligent devices, the remote posture control can be realized, the related operation can be carried out, the intelligent device can be widely applied to the fields of fitness, worker protection, rehabilitation, housekeeping, games and the like, and the market development prospect is good;
the first data is a three-dimensional angular velocity signal, the three-dimensional angular velocity is subjected to integral processing, a state equation in a Kalman filter is constructed, and a real-time angular velocity value is obtained; the second data is a three-dimensional acceleration signal, and a state equation in a Kalman filter is constructed to obtain a real-time acceleration value; and combining the real-time angular velocity value and the real-time acceleration value to obtain motion information data.
The bracelet equipment body 1 is also internally provided with a gravity sensing sensor 6 and a GPS chip, the gravity sensing sensor 6 obtains gravity center data, the central processing unit 2 combines motion information data with the gravity center data to obtain step counting data, tumble detection can be carried out according to the gravity center data, daily exercise amount of a user can be conveniently obtained, contact modes comprise voice contact, posture instruction sending messages and the like, the user is protected, and the position of the user can be conveniently found; meanwhile, the falling detection can be carried out, SOS emergency contact can be selected to be carried out in time when falling, the user can contact in time to obtain help in case of emergency, and great help is provided for old users in the fields of housekeeping, nursing staff and the like.
Still be equipped with bluetooth module 7 and wireless communication module in the bracelet equipment body 1, can be connected with other intelligent equipment, through the corresponding gesture instruction of the discernment of gesture to other intelligent equipment output that have connected, but the relevant working equipment of attendant remote control, for example, the operation such as the passing of toll station attendant attitude control banister, report to the police to can in time contact.
Still be equipped with rhythm of the heart sensor 8 in the bracelet equipment body 1, rhythm of the heart sensor 8 is photoelectric transmission rhythm of the heart sensor, acquires user's rhythm of the heart information, inspects user's health status, and the daily health status of understanding self of the user of being convenient for.
Still be equipped with microphone 9 in the bracelet equipment body 1, including voice microphone and bone conduction microphone, the sound of being convenient for also can with carry out the communication smoothly under the lighter condition.
The specific using process is as follows:
the central processing unit receives and processes data from the three-axis gyroscope, the three-axis accelerometer and the muscle electric sensor to obtain accurate attitude parameters, compares the attitude parameters with a pre-established attitude action recognition model in the storage module, determines the attitude corresponding to the attitude parameters, completes the recognition of the attitude and outputs corresponding attitude instructions; the equipment can acquire various index parameters of the human body of the user and know the daily physical health condition of the user; such as: the system is applied to the service industry, can monitor the gesture action of service personnel and standardize the service gesture action of the service personnel; the method is applied to the field of controlling intelligent equipment, and can control an intelligent air conditioner, an intelligent curtain and the like by utilizing the attitude instruction; the intelligent device can also be applied to old people in the fields of housekeeping, nursing workers and the like, can detect the posture action of the old people in the daily and old-age process, provides an operation control mode for the old people, and solves the problem that the old people cannot operate the intelligent device due to reasons such as inconvenience in eyesight and the like.
It should be noted that, although the above embodiments have been described herein, the scope of the present invention is not limited thereby. Therefore, based on the innovative concept of the present invention, the changes and modifications of the embodiments described herein, or the equivalent structure or equivalent process changes made by the contents of the specification and the drawings of the present invention, directly or indirectly apply the above technical solutions to other related technical fields, all included in the protection scope of the present invention.
Claims (5)
1. The utility model provides a monitoring bracelet equipment that contains gesture recognition, includes bracelet equipment body (1) and display screen, its characterized in that: the wrist strap type wrist strap device further comprises a central processing unit (2) arranged in the wrist strap device body (1), and a triaxial gyroscope (3), a triaxial accelerometer (4) and a myoelectric sensor (5) which are connected with the central processing unit (2);
the three-axis gyroscope (3) is acquired as first data;
the triaxial accelerometer (4) is acquired as second data;
the muscle electric sensor (5) obtains bioelectrical signal data by induction;
the central processing unit (2) comprises a storage module (22) for storing a pre-established gesture motion recognition model;
the central processing unit (2) combines the first data with the second data to obtain specific motion information data; the central processing unit (2) combines the bioelectricity signal data with the motion information data to obtain specific and more accurate attitude parameters, the attitude corresponding to the attitude parameters is determined through comparison of the attitude parameters with a pre-established attitude action recognition model in the storage module (22), and the central processing unit (2) completes recognition of the attitude and outputs corresponding attitude instructions.
2. The monitoring bracelet device including gesture recognition according to claim 1, characterized in that:
still be equipped with gravity-feed tank sensor (6) and GPS chip in bracelet equipment body (1), gravity-feed tank sensor (6) obtain focus data, and central processing unit (2) combines motion information data and focus data to obtain meter step data.
3. The monitoring bracelet device including gesture recognition according to claim 2, characterized in that:
still be equipped with bluetooth module (7) and wireless communication module in bracelet equipment body (1), can be connected with other intelligent equipment, through the discernment of gesture to the corresponding gesture instruction of other intelligent equipment output that have connected.
4. The monitoring bracelet device including gesture recognition according to claim 3, characterized in that:
still be equipped with rhythm of the heart sensor (8) in bracelet equipment body (1), rhythm of the heart sensor (8) are photoelectric transmission rhythm of the heart sensor.
5. The monitoring bracelet device including gesture recognition according to claim 4, characterized in that:
still be equipped with microphone (9) in bracelet equipment body (1), including human voice microphone and bone conduction microphone.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201921604050.5U CN211155811U (en) | 2019-09-25 | 2019-09-25 | Monitoring bracelet equipment containing gesture recognition |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201921604050.5U CN211155811U (en) | 2019-09-25 | 2019-09-25 | Monitoring bracelet equipment containing gesture recognition |
Publications (1)
Publication Number | Publication Date |
---|---|
CN211155811U true CN211155811U (en) | 2020-08-04 |
Family
ID=71787556
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201921604050.5U Active CN211155811U (en) | 2019-09-25 | 2019-09-25 | Monitoring bracelet equipment containing gesture recognition |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN211155811U (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113017611A (en) * | 2021-02-04 | 2021-06-25 | 华南理工大学 | Recovered bracelet of intelligence and gesture control system based on attitude sensor |
WO2022228212A1 (en) * | 2021-04-27 | 2022-11-03 | 华为技术有限公司 | Gesture interaction method, system, and apparatus |
-
2019
- 2019-09-25 CN CN201921604050.5U patent/CN211155811U/en active Active
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113017611A (en) * | 2021-02-04 | 2021-06-25 | 华南理工大学 | Recovered bracelet of intelligence and gesture control system based on attitude sensor |
WO2022228212A1 (en) * | 2021-04-27 | 2022-11-03 | 华为技术有限公司 | Gesture interaction method, system, and apparatus |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105342623B (en) | Intelligent tumble monitor device and its processing method | |
US10299704B2 (en) | Method for monitoring of activity and fall | |
US10136841B2 (en) | Multi-functional smart mobility aid devices and methods of use | |
CN205041401U (en) | Equipment is worn detection device and is had and wears guardianship device that detects function | |
CN101732041B (en) | Medical monitoring system | |
CN108089510A (en) | A kind of construction personnel's behavior intelligent monitoring system and method | |
EP3525673B1 (en) | Method and apparatus for determining a fall risk | |
CN107532959A (en) | Individual hits monitoring system | |
CN110675596B (en) | Fall detection method applied to wearable terminal | |
CN107788990A (en) | A kind of wearable falling detection device and fall detection system | |
CN102525434A (en) | Remote electronic monitoring device | |
CN211155811U (en) | Monitoring bracelet equipment containing gesture recognition | |
KR20150066563A (en) | A monitoring device for analysing a sleep condition | |
CN106228015A (en) | A kind of healthy and safe monitor system of intelligent medical based on technology of Internet of things | |
CN104392583A (en) | Fall detection and alarm system and method based on KNN algorithm | |
CN207992779U (en) | A kind of construction personnel's behavior intelligent monitoring system | |
CN106037712A (en) | Electrocardiogram monitoring alarm system having positioning function | |
KR20170121617A (en) | Elderly people living alone monitoring system using IoT | |
CN204744130U (en) | Multi -parameter sleep monitor and intelligent diagnostic system based on 4G removes communication technology | |
Rawashdeh et al. | Development of a low-cost fall intervention system for hospitalized dementia patients | |
CN110353695A (en) | A kind of wearable athletic rehabilitation guidance and monitor system and its method | |
CN209285510U (en) | A kind of miniature physiological situation monitoring device | |
CN110673730A (en) | Action identification method and device applied to endowment and housekeeping industries | |
Gharghan et al. | A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques | |
CN205054236U (en) | Device of control rail transit train staff health status |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant |