71 results about "Training load" patented technology

The invention relates to method and system for controlling a training plan for a user having a chosen aim for training, where

• • at least one parameter describing physical characteristics of the user is determined, and
  • a training plan consists of plurality of days, each day having one or more training sessions or rest, and
  • each performed and coming session having a training load described by one or more parameters
  • a training template is determined according to the aim and the said one or more parameters describing physical characteristics, each training template having a cumulative training load target according to the said parameter and the chosen aim and consisting of one or more training sessions or rest in each day, each training session of the template having a pre-selected training load, and
  • an adapting window is determined, the adapting window consisting of a plurality of days, which include one or more previous sessions and one or more coming sessions according to the training template, and
  • training loads of each session in the adapting window are combined into a cumulative training load, which is compared relatively to the cumulative training load target in the template, and

depending on the comparison one or more coming sessions in the adapting window are adapted by changing one or more training loads of these so that the performed training load and the training load of the coming sessions as a combination meets the cumulative training load target.

A method of determining a user's training load, includes determining protein combustion information and determining the user's training load based on the protein combustion information. The protein combustion information may be determined using heart rate information, activity information, carbohydrate reserve information determined using a carbohydrate combustion model and carbohydrate reserve information representing the user's carbohydrate reserves at a beginning of at least one exercise session, fitness information, intensity information, nutritional intake information representing nutritional intake during at least one exercise session, and/or a fat combustion model. The user's training load may be determined based on a mechanical stimulus and/or a modality. Recovery time information may be determined based on the training load. A corresponding apparatus and computer-readable medium correspond to the above method.

A system for providing a training load schedule for peak performance positioning includes an apparatus for providing a training load schedule for peak performance positioning. The apparatus includes an initial load schedule module that provides an initial load schedule. The apparatus also includes a fatigue level module that detects a fatigue level. In addition, the apparatus includes a dynamic load schedule module that creates and updates a dynamic load schedule by modifying the initial load schedule based on the fatigue level.

A method, device and a computer program product for determining a training load distribution of a user is provided. Heart rate is continuously measured by a heart rate sensor. An aerobic training effect and load are calculated using intensity values and divided into categories of Aerobic Low and Aerobic High. An anaerobic training effect and load are calculated using determined characteristics related to high intensity periods of an exercise.

The invention discloses a passenger detecting method based on a Haar-PCA characteristic and a probability neural network. The passenger detecting method comprises the steps of manually selecting a large number of passenger pictures and non-passenger pictures, and respectively marking the passenger pictures and the non-passenger pictures as positive samples and negative samples; representing a random positive sample or negative sample Si by means of an Haar characteristic, generating an Haar characteristic vector Hi, wherein i=1, 2, ..., n; selecting a main element subset vector Hi<PCA> which comprises majority part information on the Haar characteristic vector Hi of all samples through main component analysis; determining a classifier CPNN structure and determining to-be-classified samples, similarly with the step 2 and step 3, representing a to-be-determined sample according to the Harr-PCA characteristic vector Hi<PCA>, and inputting the vector into the CPNN which is obtained in the step 4, wherein the to-be-determined sample belongs to a class of which the output neuron is 1. The passenger detecting method has advantages of greatly reducing number of dimensions of a training characteristic vector through the Haar-PCA characteristic, reducing training load of the classifier, and greatly improving detection accuracy through replacing traditional BPANN by means of the probability neural network (PNN).

The invention discloses a rowing specialized training real-time monitoring system. The rowing specialized training real-time monitoring system comprises a heart rate sensor, a data acquiring terminal, a mobile wireless base station and a tablet person computer, wherein an athlete wears the heart rate sensor; the heart rate sensor is connected with a data acquiring terminal in a Bluetooth mode; the data acquiring terminal is connected with the mobile wireless base station in a Zigbee mode so that data can be transmitted; and the mobile wireless base station is connected with the tablet person computer in a WiFi (wireless fidelity) mode. By the rowing specialized training real-time monitoring system, data such as the heart rate, the speed, the acceleration, the rowing angle, the stroke frequency, the displacement and the result forecast of the athlete in a rowing process can be monitored in real time, a report, a curve graph and a bar graph of various indexes of the athlete can be checked and guided out, the training intensity load of the athlete is quantified, specialized training load indexes of the athlete are monitored in real time, so that a coach can objectively evaluate a training effect and make a training plane in a targeted manner, and the training effect is improved.

The invention relates to the field of mobile training data acquisition in sport, particularly in strength training, body building, fitness sports and rehabilitation, as well as the analysis of said training data. The invention involves a method and a mobile device (1) for precise acquisition of multiple training data. The multiple training data includes, for example, the time-path curve of the force application point of the training load, the mechanical work and the tension duration of eccentric and concentric muscle length changes and isometric muscle contractions. An analysis of the training data is based on a training model (25).

The invention discloses a strength training data acquisition device based on multi-sensing information fusion technology, which includes a base, a column, a first support plate, a fixed pulley, a second support plate, a visual sensor, a belt, a counterweight, a tension sensor, The handheld mechanism, the repeater module integrated with a single-chip microcomputer, and the data acquisition and display system. The single-chip microcomputer set in the repeater module processes the data of the tension sensor and the visual sensor, so as to accurately capture the bodybuilder's strength training load, speed, Displacement, time, frequency and other data, the data acquisition and display system is connected to the cloud server through the repeater module and the data is fed back to the cloud server expert system in real time, which provides an effective and safe sports training plan. The device has a simple structure, can accurately detect various parameters during strength training, and is convenient for an expert system to provide an effective and safe exercise training plan.

An apparatus and a method are provided. The provided solution comprises: receiving, by an interface, the duration of at least one training session scheduled for a given day and a training event type of the session; reading from a database information on an average training load of at least one training event; determining, by a controller, a training load for a given training session on the basis of the duration of the session, and an average training load of the event type of the training session; determining by a controller, a daily training load on the basis of training sessions scheduled for the given day; and categorizing by a controller, the daily training load into a category of a predetermined number of categories.

The invention relates to a line and bus protection method based on initial fault angle, transition resistance and machine learning. A lot of high-frequency transient signals are generated by line faults, most of the high-frequency transient signals are passed by ground distribution equivalent capacitance of a bus when passing the bus, and the higher the frequency is, the more the signals are passed by; high-frequency components generated under different initial fault angles and different transition resistances differ a lot; the fault feature, initial fault angle, transition resistance and fault area label of a typical fault sample are used to form an input vector sample set of machine learning to train machine learning; and machine learning after training is used for fault determination. A corresponding protection motion value is set for differential fault conditions, adverse influence of the initial fault angle and the transition resistance is eliminated, the protection reliability is greatly improved, and error caused by setting the protection motion value manually is prevented. Only the typical fault sample rather than fault samples under all fault conditions is needed, the training load of machine learning is reduced, and the method is feasible practically.

The invention relates to a measuring device and method for resisting-ability training load of an unarmed martial art, composed of pressure sensor sensing beating force, signal conditioning circuit, A/D converter, microcontroller, display, keyboard, power supply and memory. Its basic measuring method: in the resisting-ability training of an unarmed martial art, real-timely making complete, accurate and objective measurement and recording the load parameters for the resisting-ability training. Thus, it implements digital, automatic and accurate management for the unarmed martial art in the resisting-ability training.

The invention belongs to the field of sports training apparatuses, and provides a technical backward pawing force training device and method. A folding iron post of the training apparatus is put down during exercise; legs of an exerciser are lashed backwards and downwards; when feet come into contact with a simulating pawing platform, a cylindrical spring is compressed; the feet, swinging backwards, of the exerciser can tread a board surface by force, and can also successfully swing backwards; the exerciser can really feel pawing; and when the folding iron post is supported up, the training device can be used as a standing platform. A resistance mechanism can be used for achieving the purposes of stretching muscles of hips, knees and ankles in a resistance manner. A goat-horn-shaped hip supporting device enables the hip of the exerciser to be stressed directly; a fulcrum is proper so that training loads are added to the largest degree; the defects of small loads and pertinence incapability of training in a traditional training method are overcome; the exerciser can complete fast and forceful explosive pawing actions; a practical backward pawing technique is really simulated; training quality is improved; and athletes can obtain better achievements in sprint and jumping.

The invention discloses a load-adjustable swimming auxiliary device. A front shaft is arranged at the front end of a device body which is cylindrical after being inflated, and the front shaft is connected with a lifting ring. Wing panels are arranged on the device body, and the wing panels are of a streamline structure and are symmetrically distributed. A pipe shaft at the rear end of the device body is sleeved with a shaft sleeve, and the shaft sleeve and the pipe shaft are in loose fit and can flexibly rotate. Wing-shaped and inclined-angle-adjustable rotor wings are arranged on the outer wall of the shaft sleeve, the rotor wings are symmetrically distributed on the shaft sleeve in a streamline shape, and a rotor wing ring is arranged on the outer edges of the rotor wings to form an integral component. A detachable rotary cover is arranged on the pipe shaft to achieve sealing and is provided with an air nozzle. The load-adjustable swimming auxiliary device is made to rotate by ingeniously using the fluid mechanics principle, the safety of swimming can be effectively ensured, the dynamic effect and interestingness are enhanced, the training load can be adjusted, the exercise intensity can be easily, suddenly and remarkably increased or reduced, various functions of swimming safety, interestingness, the dynamic effect, training and the like are integrated, and the load-adjustable swimming auxiliary device is ideal and wide in prospect.

The invention relates to a training load curve optimization algorithm, in particular to a human-in-loop intelligent training load curve optimization algorithm based on evaluation indexes, which adoptsa parameterization model of training loads, a motion phase synchronization system, an intelligent evaluation index planning system, a physiological signal measurement system and a master control system. In the training process, physiological signals of a human body are monitored in real time to obtain evaluation indexes of the current human body, a parameterized model of a training load is changed in real time under the control of a master control system, and a training load curve corresponding to the model is applied to a trainee through a motion phase synchronization system. Therefore, thereal-time human body evaluation indexes of the trainee can accord with the evaluation index optimal change curve generated based on the intelligent evaluation index planning system in the training process. According to the invention, the corresponding optimal evaluation index curve can be generated for different training purposes, and compared with a single constant evaluation index, the time-varying curve can better conform to the complex characteristic of the system of the human body.

The invention discloses lower limb exercising equipment for the rehabilitation department. The lower limb exercising equipment comprises a bed body, a backrest plate rotationally arranged on the rightside of the bed body, an adjusting mechanism arranged on the bed body and used for rotating the backrest plate, a double-telescopic mechanism arranged at the left end of the bed body and a pedal structure arranged on the double-telescopic mechanism. When limbs of a patient are weak, aninner cylinder can be driven to reciprocate through a driving screw in the double-telescopic mechanism, so that the feet, fixed to the pedal structure, of the patient are driven to move back and forth to assist the patient in training, and the training load of the patient is reduced. When the patient restores toa certain degree, a driving sleeve is separated from the inner cylinder, and the patient pushes air springs arranged on the two sides to do bending and straightening training.