CN105107178A - Shooting action training method - Google Patents
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- CN105107178A CN105107178A CN201510472755.6A CN201510472755A CN105107178A CN 105107178 A CN105107178 A CN 105107178A CN 201510472755 A CN201510472755 A CN 201510472755A CN 105107178 A CN105107178 A CN 105107178A
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Abstract
The invention relates to a shooting action training method. The shooting action training method comprises the following steps: obtaining the shooting association data of a shooting action and a basketball moving state as well as shooting average by combining the basketball moving state information which is fed back by a basketball, the shooting actions of arms which are fed back by arm sleeves when the basketball is shot, and the shooting average which is fed back by a basket; comparing the shooting association data with a preset shooting action model which serves as a training standard, and finding and feeding back the difference between the shooting association data and the shooting action model to obtain training data, wherein the basketball moving state information comprises shooting trajectory, flying speed, rotating speed, and shooting angle; the shooting action comprises muscle power strength, power generating order, the postures of arms and fingers, and the action trajectory of the arms. The method is used for analyzing the coherent postures and muscle effectiveness of a basketball player in a shooting practice exercise, and giving posture correction and muscle power generation suggestions.
Description
Technical field
The present invention relates to physical education technology, more particularly, relate to a kind of act of shooting training method.
Background technology
Traditional shootaround comprises theory study and practices.
The mode that theory study is just taught by experience usually instructs sportsman, comprises and learning from the object such as textbook, coach.When being learnt by textbook, the deficiency of existence is, substantially belongs to pure theory teaching, cannot accomplish " teaching others by his own example ", and by obscure theoretical word by sportsman self study, be converted into the process of under battle conditions technology, with the study of sportsman self and understandability relation larger.And the result to study, whether sportsman self may verify correct hardly.When being learnt by coach, compared with textbook, solve the problem of " teaching others by his own example ", but still the deficiency existed is, coach also can only observe action and the training result of sportsman from presentation, quality of instruction is very large with the correlation of coach's level, and the quantity of the sportsman of an outstanding coach directed is also very limited, be unfavorable for carrying out training guidance on a large scale, efficiency is extremely low.
For practices, prior art discloses shooting training device, but only can add up the height of shooting result, can not give suggestion or analysis to sportsman.Sportsman can only train with the method for " skill comes from practice ", gets half the result with twice the effort.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of act of shooting training method in conjunction with basketball, act of shooting, hit rate is provided.
Technical scheme of the present invention is as follows:
A kind of act of shooting training method, in conjunction with basketball feedback basketball movement status information, arm cover feedback shooting time arm act of shooting, hoop feedback hit rate, and then draw the shooting associated data of act of shooting and basketball movement state, hit rate, and contrast with the act of shooting model as training standard preset, find out the difference item of shooting associated data and act of shooting model, and feed back, obtain training data; Wherein, described basketball movement status information comprises projection track, flying speed, rotating speed, angle of trajectory; Act of shooting comprises muscle and to have an effect size, sequencing of having an effect, arm and the posture of finger, the movement locus of arm.
As preferably, according to different height, different shooting distance, adopt corresponding act of shooting model.
As preferably, judged the relative position of basketball and hoop by the Motion Position Sensor in basketball.
As preferably, further, according to the difference item of feedback, provide and correct suggestion.
As preferably, all data that each shootaround gathers are stored, as historical data, for analyzing the trend of shootaround.
As preferably, the difference item fed back by intelligent terminal for reception, is stored all data that each shootaround gathers, and analyzes, and the deficiency that the training process for the difference item correspondence of feedback exists provides default tutorial message.
As preferably, size is had an effect with act of shooting model for reference value to muscle, give overexertion, firmly moderate, the classification that firmly kicks the beam.
As preferably, arm cover also feeds back muscular fatigue degree, if muscular fatigue degree exceedes default threshold values, is then judged as tired.
As preferably, by the Motion Position Sensor feed back motion status information in basketball, arm cover is by the surface electromyogram signal of SEMG sensor feedback arm muscles, when obtaining shooting by analyzing the surface electromyogram signal gathered arm and finger related muscles size of having an effect, sequencing of having an effect, point service condition, feed back the movement locus of arm and the posture of arm by Motion Position Sensor.
As preferably, training data is sent to server, carries out data interaction between different user with interactive.
Beneficial effect of the present invention is as follows:
The invention provides with a kind of action of basketball training and flesh energy state analysis method, to carry out shooting coherent posture in exercise and muscle efficiency in order to analyze sportsman, and give correcting posture and muscle and to have an effect suggestion.During feedback shooting, according to enforcement demand, the angle of trajectory, rotating speed, hit rate, time of selling, accumulative hit rate etc. of feedback basketball movement, and for sportsman's record shootaround data result, analyze gesture actions, muscle and to have an effect state, hand fatigue state, and give suggestion and correction according to training data result.Further, also by the intelligent terminal such as smart mobile phone, computer, present coherent order, the force degree had an effect of limb action with graphical interface reduction, reach more reaching of wisdom and train and promote skill.
Accompanying drawing explanation
Fig. 1 is the principle flow chart of method of the present invention;
Fig. 2 is the principle flow chart of the SEMG of arm and the method for movement locus when detecting shooting.
Detailed description of the invention
Below in conjunction with drawings and Examples, the present invention is described in further detail.
The invention provides a kind of act of shooting training method, for reflecting in act of shooting from the physiology of human body, participating in muscle and the arm of act of shooting, the service condition of finger, and then correcting act of shooting targetedly, the achievement of raising shootaround and efficiency.
As shown in Figure 1, method of the present invention, in conjunction with basketball feedback movement state information, arm cover feedback act of shooting, hoop feedback hit rate, and then draw the shooting associated data of act of shooting and basketball movement state, hit rate, and contrast with the act of shooting model as training standard preset, find out the difference item of shooting associated data and act of shooting model, and feed back, obtain training data; Wherein, described movement state information comprises projection track, flying speed, rotating speed, angle of trajectory (basketball is being sold moment, the direction of motion of basketball and the angle of horizontal direction); Act of shooting comprises muscle and to have an effect size, sequencing of having an effect, arm and the posture of finger, the movement locus of arm.
Because whether act of shooting is accurate, different height, stand in from the different angle of hoop and distance, the act of shooting of use is different, and therefore, the present invention, according to different height, different shooting distance, adopts corresponding act of shooting model.In the present embodiment, judged the relative position of basketball and hoop by the Motion Position Sensor in basketball.
Method of the present invention, after having fed back difference item, according to the difference item of feedback, provides and corrects suggestion, so that sportsman is for the deficiency of self, strengthens training targetedly.
For the ease of observing and summing up, all data that each shootaround gathers are stored, as historical data, for analyzing the trend of shootaround.The difference item fed back by intelligent terminal for reception, is stored all data that each shootaround gathers, and analyzes, the deficiency that the training process for the difference item correspondence of feedback exists, and provides default tutorial message.
Size is had an effect with act of shooting model for reference value to muscle, gives overexertion, firmly moderate, the classification that firmly kicks the beam.Arm cover also feeds back muscular fatigue degree, if muscular fatigue spends accumulative speed in the unit interval exceed default threshold values, is then judged as overexertion.
By the Motion Position Sensor feed back motion status information in basketball, arm cover is by the surface electromyogram signal of SEMG sensor feedback arm muscles, when obtaining shooting by analyzing the surface electromyogram signal gathered arm and finger related muscles size of having an effect, sequencing of having an effect, point service condition, fed back the movement locus of arm and finger by Motion Position Sensor.
In the present embodiment, basketball is provided with sportsman and carries out track supposition to its shooting, by the interior Motion Position Sensor (nine axle sensors) established, can record projection track, flying speed, rotating speed, the angle of trajectory of basketball.
In method of the present invention, in act of shooting process complete each time, detected the surface electromyogram signal of arm muscles by SEMG sensor, detected the movement locus of arm and finger by Motion Position Sensor; By analyze gather surface electromyogram signal obtain shoot time arm with finger related muscles size of having an effect, sequencing of having an effect, point state of exerting oneself, and combine the movement locus gathered, draw the act of shooting sampled data of a complete act of shooting, for reacting the service condition of the muscle that participates in act of shooting and arm, finger.
Corresponding, need configuration can the equipment of collection surface electromyographic signal and movement locus, it can be a kind of arm cover possessing SEMG sensor and Motion Position Sensor, when carrying out shootaround, arm cover described in wearing, for detecting surface electromyogram signal and arm in act of shooting, pointing state of exerting oneself.Arm cover is provided with sportsman and carries out information feed back to the posture of arm (comprising finger) and the muscular movement state had an effect, some SEMG sensors and Motion Position Sensor (as nine axle sensors) can be set, SEMG sensor contacts is on sportsman's skin surface, when sportsman has an effect to its certain block muscle, the signal of telecommunication is sent to its neuron, neuron can to the meat fiber transmission of signal of its periphery after receiving signal, these are at the signal of telecommunication of the generation of muscle surface, will be detected by SEMG sensor, some SEMG sensors are placed in corresponding position according to the muscle group that will detect, sportsman can be identified to its finger and the state of having an effect of arm thereof, to connect the state for time that each muscle has an effect, the sequence of sportsman's arm and finger when shooting can be found out.Upper arm and the forearm positions of arm cover place nine axle sensors, the action of the reducible sportsman of going out upper arm and forearm when shooting and relative position.Arm cover can for finger and forearm have an effect degree, shooting have an effect order, shooting after arm angles make calculating, and reduction result be shown in use computer on.
The data gathered number be directly connected to the accuracy of analysis result, if need to obtain accurate analysis result as far as possible, then need SEMG sensor to detect surface electromyogram signal that upper arm, forearm and finger participate in the muscle of act of shooting.Detect each the block muscle participating in act of shooting as much as possible, be conducive to finally obtaining the most accurate analysis result.Motion Position Sensor detects the movement locus of upper arm and forearm, and the finger driven by forearm is had an effect.Movement locus comprises in a complete act of shooting, upper arm and forearm before shooting, shoot in, shoot after action, relative position and upper arm and the angle of forearm (preferred, before shooting, upper arm and forearm are an angle of 90 degrees; Basketball is sold moment, and basketball track and level are that best results between angle is spent at 40 degree of angles to 50).Because act of shooting is from initial to end, from raising one's hand, until basketball departs from the action of finger, wrist and arm after pointing, all shooting quality be can affect, therefore, omnidistance intactly detection upper arm and the state of forearm in whole complete act of shooting needed.
Surface electromyogram signal due to individualism directly can not react the correctness of act of shooting, therefore, after SEMG sensor detects surface electromyogram signal, contrast with the flesh current signal reference data preset, analyze size of having an effect, the sequencing of having an effect of arm and finger related muscles when drawing shooting, point service condition.
In order to obtain detecting data more accurately, before surface electromyogram signal and the myoelectricity stream electrical reference signal preset compress into capable contrast, effects on surface electromyographic signal is optimized noise reduction, prevents unnecessary noise from also analyzing, obtains the result that error is larger.In the present invention, effects on surface electromyographic signal is optimized noise reduction and comprises: the surface electromyogram signal gathered is obtained to the frequency range selected through bandpass filter, and then through notch filter filtering noise frequency band, obtain preferred signals.
What surface electromyogram signal represented is micro-electric current that muscle produces when having an effect, and in discrete state, can not directly reflect the complete of act of shooting and continuity.Therefore, analysis of the present invention draws the time domain distribution of preferred signals, and then obtains the Annual distribution of each surface electromyogram signal, and then obtains the sequencing of having an effect of each muscle; Analyze and draw the frequency domain distribution of preferred signals, then contrast with the flesh current signal reference data preset, when obtaining shooting arm and finger related muscles size of having an effect, sequencing of having an effect, point service condition.Finally, to be had an effect sequencing by have an effect size and muscle of muscle, identify the arm of a complete act of shooting and finger have an effect use with muscle whether correct.
Because micro-electric current of surface electromyogram signal is less, be not easy to directly process, in order to reach more excellent effect of optimization, surface electromyogram signal first carried out single step of releasing greatly before entering bandpass filter, after notch filter exports, carry out secondary amplification.
As shown in Figure 2, in the present embodiment, after SEMG sensor collects surface electromyogram signal, after amplifier once amplifies, filtered by surface electromyogram signal through bandpass filter (band-passfilter), obtain the frequency range selected, it is distributed between 20Hz to 200Hz, again by the signal of notch filter (notchfilter) rejection frequency 55Hz to 65Hz, obtain preferred signals.Because the signal of 60Hz carries the noise of outstanding electric wire and environment secretly, by analysis result final for impact.Preferred signals carries out secondary amplification through amplifier again, then carries out analog-to-digital conversion by ADC (analog-digital converter), obtains data signal.Then the data signal of gained is analyzed, obtain time domain distribution, frequency domain distribution is drawn by Fourier Transform Algorithm, namely the surface electromyogram signal collected each SEMG sensor carries out process and extracts characteristic value, compare with the flesh current signal reference data preset again, and then identify corresponding arm, finger movement.Motion Position Sensor (as nine axle sensors) gathers the signal of arm three-dimensional, judges arm posture by the signal analysis of three-dimensional.
Hoop passes through to carry out hit rate statistics into basket statistics module, comprises some wireless distances detection sensors.Wireless distances detection sensor can launch electromagnetic field usually, or launching infrared ray produces electromagnetic radiation, gathers the variable signal occurred its detecting distance scope internal magnetic field; After basketball enters hoop, fall down from above, in order through some electromagnetic fields, and then produce corresponding changes of magnetic field, and then judge whether basketball enters hoop, obtain goals during shootaround, the goal attempts obtained added up by collocation basketball, can draw the hit rate of shooting.
Intelligent terminal of the present invention can be, but be not limited to the computer that can receive and send messages, smart mobile phone, intelligent watch, panel computer etc., (can by bluetooth by wireless communication networks module, WIFI, UWB etc.) be connected with intelligent terminal, in transmission act of shooting, basketball, all data that arm cover gathers, and analyze, to obtain the projection track of shooting, flying speed, rotating speed, angle of trajectory, hit rate, and the situation of having an effect of finger and arm (muscle is had an effect size, to have an effect sequencing), basketball sell after the angle of arm, arm and finger gesture during shooting, the movement locus of arm, the firmly degree pointed during lifting, arm degree of fatigue etc., and give to correct and suggestion according to the data detected.
For the ease of observing, and backtracking historic training data, summing up the objects such as the training result of a period of time, in the present invention, all data that each shootaround gathers being stored, as historical data, for analyzing the trend of shootaround.And the data that can obtain for training process, give suitable specialized guidance.Implement method of the present invention by specialized guidance person, for the data of every feedback, training data bank in advance corresponding to the present invention is play video demonstration with imaging modality, is analyzed.The degree of having an effect of different muscle with the flesh current signal reference data preset for reference value, give overexertion, firmly moderate, firmly the classification such as to kick the beam represent; If degree of fatigue is accumulated rapidly, be greater than default threshold values as gathered way, then can give tired classification, represent that likely not kind pin and health transmit strength, or coordinate inadequate caused suggestion.
Training data is sent to server by the present invention, carries out data interaction with interactive, comprise interactive training method on line between different user, allows training can through game, or far-end racing formula more has and carries out interactively.
Above-described embodiment is only used to the present invention is described, and is not used as limitation of the invention.As long as according to technical spirit of the present invention, change above-described embodiment, modification etc. all will be dropped in the scope of claim of the present invention.
Claims (9)
1. an act of shooting training method, it is characterized in that, in conjunction with basketball feedback basketball movement status information, arm cover feedback shooting time arm act of shooting, hoop feedback hit rate, and then draw the shooting associated data of act of shooting and basketball movement state, hit rate, and contrast with the act of shooting model as training standard preset, find out the difference item of shooting associated data and act of shooting model, and feed back, obtain training data; Wherein, described basketball movement status information comprises projection track, flying speed, rotating speed, angle of trajectory; Act of shooting comprises muscle and to have an effect size, sequencing of having an effect, arm and the posture of finger, the movement locus of arm.
2. act of shooting training method according to claim 1, is characterized in that, according to different height, different shooting distance, adopts corresponding act of shooting model.
3. act of shooting training method according to claim 2, is characterized in that, is judged the relative position of basketball and hoop by the Motion Position Sensor in basketball.
4. act of shooting training method according to claim 1, is characterized in that, further, according to the difference item of feedback, provides and corrects suggestion.
5. act of shooting training method according to claim 1, is characterized in that, stores all data that each shootaround gathers, as historical data, for analyzing the trend of shootaround.
6. act of shooting training method according to claim 5, it is characterized in that, the difference item fed back by intelligent terminal for reception, store all data that each shootaround gathers, and analyze, for the deficiency that the training process of the difference item correspondence of feedback exists, provide default tutorial message.
7. act of shooting training method according to claim 1, is characterized in that, has an effect size with act of shooting model for reference value to muscle, gives overexertion, firmly moderate, the classification that firmly kicks the beam.
8. act of shooting training method according to claim 7, is characterized in that, arm cover also feeds back muscular fatigue degree, if muscular fatigue degree exceedes default threshold values, is then judged as tired.
9. act of shooting training method according to claim 1, it is characterized in that, by the Motion Position Sensor feedback basketball movement status information in basketball, arm cover is by the surface electromyogram signal of SEMG sensor feedback arm muscles, when obtaining shooting by analyzing the surface electromyogram signal gathered arm and finger related muscles size of having an effect, sequencing of having an effect, point service condition, feed back the movement locus of arm and the posture of arm by Motion Position Sensor.
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