RU2768183C1 - Hardware and software complex and a method for calculating the position of the center of gravity of a person in three-dimensional space using a contactless sensor - Google Patents

Abstract

FIELD: medicine.

SUBSTANCE: group of inventions relates to medicine, namely to methods for contactless calculation of the position of the center of gravity of a person in three-dimensional space and hardware and software complexes for this. The complex contains a computing device, a contactless sensor, a module for interaction with the contactless sensor, a module for stabilometrical calculations and a data analysis module. The computing device is connected to the contactless sensor made with the possibility of obtaining three-dimensional coordinates of characteristic points of the human body. The module of interaction with the contactless sensor is made with the possibility of: obtaining primary data from the contactless sensor and preprocessing the received data for their subsequent transmission to the module of stabilometrical calculations; automatic calibration of the position of the optical axis of the sensor and converting the received coordinate points from the coordinate system associated with the position of the sensor into an independent gravitational coordinate system to ensure the independence of the values of the received primary data from the physical location of the sensor; filtering and smoothing of primary data; recording of primary data for subsequent emulation of sensor operation with the possibility of post-processing from the selected set of records; sending pre-processed primary data to the computing device. The module of stabilometrical calculations is made with the possibility of calculating the position of the center of gravity of a person in a three-dimensional coordinate system in real time. The data analysis module is designed with the ability to analyze and calculate the results on the position of the center of gravity obtained from the module of stabilometrical calculations.

EFFECT: possibility of contactless calculation of the position of the center of gravity of a person in three-dimensional space is achieved.

8 cl, 6 dwg

Description

FIELD OF TECHNOLOGY

The present technical solution relates to the field of medicine and computer technology, in particular to a hardware-software complex and a method for non-contact calculation of the position of a person's center of gravity in three-dimensional space.

BACKGROUND OF THE INVENTION

The prior art solution is chosen as the closest analogue, EN 152606 U1, publ. 06/10/2015. This solution discloses a stabilometric device containing a support platform, four strain gauges rigidly fixed by one of their loaded areas on the inner surface of the support platform, a signal processing circuit made in the form of a microprocessor module containing four synchronized analog-to-digital converters that receive measurement signals from each from strain gauges that normalize and convert measurement signals into an information signal containing data on the mass of the object under study and the coordinates of its center of pressure on the platform relative to the coordinate system associated with the platform, with subsequent transmission of the received information signal via a serial interface of the Universal Serial Bus type to the control computer, characterized in that the support platform is made in the form of a sliding frame structure, equipped with receiving platforms for installing the support legs of the patient's bed and devices for adjusting the distance between the reception sites.

The above solution known from the prior art is aimed at solving the problem of conducting biomedical and psychophysiological studies using stabilometry.

The proposed technical solution is aimed at eliminating the shortcomings of the state of the art and differs from those previously known in that the proposed technical solution provides non-contact, high-speed and accurate calculation of the position of the center of gravity of a person in three-dimensional space.

SUMMARY OF THE INVENTION

The technical problem to be solved by the claimed solution is the creation of a software and hardware complex for non-contact calculation of the position of the center of gravity of a person in three-dimensional space. Additional embodiments of the present invention are presented in dependent claims.

The technical result consists in the implementation of contactless calculation of the position of the center of gravity of a person in three-dimensional space.

The claimed result is achieved through the implementation of a software and hardware complex for non-contact calculation of the position of the center of gravity of a person in three-dimensional space, containing:

a computing device connected to a non-contact sensor, configured to obtain three-dimensional coordinates of the characteristic points of the human body in the field of view of the sensor;

a module for interaction with a non-contact sensor, configured to receive primary data from a non-contact sensor and pre-process the received data for their subsequent transfer to the stabilometric calculation module;

a stabilometric calculation module, configured to calculate the position of the center of gravity of a person in a three-dimensional coordinate system in real time;

a data analysis module configured to analyze and calculate the center of gravity position results obtained from the stabilometric calculation module.

In a particular embodiment of the described software and hardware complex, the contactless sensor interaction module is configured to:

automatic calibration of the position of the optical axis of the sensor and transformation of the obtained coordinate points from the coordinate system associated with the position of the sensor into an independent gravitational coordinate system to ensure the independence of the values of the obtained primary data from the physical location of the sensor;

filtering and smoothing primary data to increase the accuracy of subsequent calculations;

records of primary data for subsequent emulation of the sensor operation with the possibility of post-processing from the selected set of records;

sending pre-processed primary data to a computing device.

In a particular embodiment of the described software and hardware complex, the contactless sensor interaction module has the ability to send pre-processed primary data to a computing device located within the local network and capable of receiving and processing primary data.

In a particular embodiment of the described software and hardware complex, the stabilometric calculation module is configured to:

building a three-dimensional model of human body segments according to the data received from the sensor interaction module;

calculating the current position of the center of gravity of a person in three-dimensional space based on the model of body segments.

In a particular implementation of the described hardware and software system, the data analysis module is configured to:

calculation of summary and medical characteristics of the position and rate of change in the position of the center of gravity;

construction of time sequences of coordinates of the position and rate of change of the position of the center of gravity;

construction of amplitude-frequency characteristics of the coordinates of the position and the rate of change of the position of the center of gravity;

construction of statistical interval distributions of the coordinates of the position and the rate of change in the position of the center of gravity, including in the polar representation.

In a particular embodiment of the described software and hardware complex, the computing device communicates with the contactless sensor via the USB interface.

The claimed technical result is also achieved through a method for non-contact calculation of the position of the center of gravity of a person in three-dimensional space, implemented by the hardware and software system according to claim 1, and containing the steps in which:

by means of a module for interaction with a non-contact sensor, primary data is obtained from a non-contact sensor and data is pre-processed for their subsequent transmission to the stabilometric calculation module;

by means of the module of stabilometric calculations, the position of the center of gravity of a person is calculated in a three-dimensional coordinate system in real time;

by means of the data analysis module, the analysis and calculation of the results on the position of the center of gravity obtained from the module of stabilometric calculations are carried out.

In a particular embodiment of the described method, the following is carried out by means of a contactless sensor interaction module:

automatic calibration of the position of the optical axis of the sensor and transformation of the obtained coordinate points from the coordinate system associated with the position of the sensor into an independent gravitational coordinate system to ensure the independence of the values obtained of the primary data from the physical location of the sensor;

filtering and smoothing of primary data to increase the accuracy of subsequent calculations;

recording primary data for subsequent emulation of the sensor with the possibility of post-processing from the selected set of records;

sending pre-processed primary data to a computing device.

In a particular embodiment of the described method, the following is carried out using the stabilometric calculation module:

building a three-dimensional model of human body segments according to the data received from the sensor interaction module;

calculation of the current position of the center of gravity of a person in three-dimensional space based on the model of body segments.

In a particular embodiment of the described method, the following is carried out by means of the data analysis module:

calculation of summary and medical characteristics of the position and rate of change in the position of the center of gravity;

construction of time sequences of coordinates of the position and rate of change of the position of the center of gravity;

construction of amplitude-frequency characteristics of the coordinates of the position and the rate of change of the position of the center of gravity;

construction of statistical interval distributions of the coordinates of the position and the rate of change in the position of the center of gravity, including in the polar representation.

DESCRIPTION OF THE DRAWINGS

The implementation of the invention will be described hereinafter in accordance with the accompanying drawings, which are presented to explain the essence of the invention and in no way limit the scope of the invention. The following drawings are attached to the application:

Fig. 1 illustrates the block diagram of the technical solution.

Fig. 2 illustrates planes in 3D space.

Fig. 3 illustrates the characteristic points of the body used in the calculations.

Fig. 4 illustrates an example of the analysis results obtained.

Fig. 5 illustrates the coordinate system of a non-contact sensor.

Fig. 6 illustrates an example of a general design of a computing device.

DETAILED DESCRIPTION OF THE INVENTION

In the following detailed description of the implementation of the invention, numerous implementation details are provided to provide a clear understanding of the present invention. However, one skilled in the art will appreciate how the present invention can be used, both with and without these implementation details. In other instances, well-known methods, procedures, and components have not been described in detail so as not to unnecessarily obscure the features of the present invention.

Furthermore, it will be clear from the foregoing that the invention is not limited to the present implementation. Numerous possible modifications, changes, variations and substitutions that retain the spirit and form of the present invention will be apparent to those skilled in the subject area.

The invention relates to the field of medicine and computer technology, in particular, to the problems of stabilometric analysis, analysis of biomechanics and kinematics of movements, analysis of human gait.

The scope of the proposed technical solution is its use in medical diagnostics, rehabilitation after injuries, strokes, diseases of the musculoskeletal system, sports medicine.

The key primary information for further processing in the framework of solving the above tasks is data on the position of the center of gravity of a person in the process of measuring in real time.

Known from the prior art, technical solutions use traditional existing methods for calculating the position of the center of gravity of a person (CG), based on the use of stabilometric platforms (stabiloplatforms). The stabiloplatform is a stationary electromechanical floor platform equipped with sensors for measuring the force applied vertically to it to determine the center of pressure created by a person located on the platform. Signals from strain gauges that measure the pressure forces on the supporting surface at different points are transmitted to a computer, where these data are used to calculate the coordinates of the CG position in the horizontal plane. The main disadvantages of existing solutions are the following:

1) The need for a person to be on the platform to perform measurements, which does not allow the calculation of the position of the CG during the movement of a moving object (for example, when analyzing gait, running, jumping).

2) The impossibility or high error in calculating the position of the CG for an object performing intense physical exercises due to the influence of inertial forces on the support.

3) The fundamental impossibility of determining the position of the CG in three-dimensional space, since the method of calculating the pressure on the support allows you to determine only the projections of the coordinates on the horizontal plane.

The technical objective of the present invention is to create a technical solution that would allow, on the one hand, to determine the position of the center of gravity of a person without the need for him to be on any stationary equipment (platform), and, on the other hand, to determine the position of the center of gravity of a person not only for static position of a person, but also for a dynamic one, including in the process of moving a person in space (walking, running, training). Another important requirement for the stated technical problem is to determine the coordinates of the position of the center of gravity in three-dimensional space (in three planes, Fig. 2).

The use of the proposed technical solution improves efficiency, expands the availability and simplifies the application of methods based on the analysis of DH for the following practical tasks:

1. Medical diagnostics.

2. Detailed study of range of motion and body balance.

3. Physical rehabilitation.

4. Medical expertise (evidence-based medicine).

5. Sports medicine.

6. Conducting scientific research on human kinematics and biomechanics.

The proposed technical solution is a software and hardware complex in the following composition:

1. Computing device;

2. Non-contact sensor;

3. Module for interaction with the sensor;

4. Module of stabilometric calculations;

5. Data analysis module.

Computing device.

The computing device can be connected by a USB cable to a non-contact sensor and contain installed software.

Non-contact sensor.

A non-contact sensor is a laser-optical system consisting of one or more cameras of various parameters and a laser active receiver-transmitter.

Sensor interaction module.

The main task of the module is to obtain primary data from the sensor and pre-process them for subsequent use in the module of stabilometric calculations. To solve this problem, the module provides the following data processing processes:

1. Automatic calibration of the position of the optical axis of the sensor and transformation of the obtained point coordinates from the coordinate system associated with the position of the sensor into an independent gravitational coordinate system to ensure the independence of the values of the obtained primary data from the physical location of the sensor.

2. Filtering and smoothing of primary data to increase the accuracy of subsequent calculations.

3. Modes of recording primary data with subsequent emulation of the sensor for post-processing from the selected set of records.

4. Delivery of pre-processed primary data both to recipients on the same computer and to recipients on any computer within the local network.

The features of the module are the implementation of building a three-dimensional model of the human body in an independent coordinate system in real time and the possibility of introducing it into systems of network distributed data processing. In addition, the resulting model of the human body can be used not only to solve the problem of stabilometric analysis, but also for other important medical areas, such as: biomechanics, kinematics of movements, gait analysis, etc.

Module of stabilometric calculations.

The main task of the module is to calculate the position of the center of gravity of a person in a three-dimensional coordinate system in real time. To solve this problem, the module provides the following data processing processes:

1. Building a three-dimensional model of human body segments based on data received from the sensor interaction module;

2. Calculation of the current position of the center of gravity of a person in three-dimensional space, based on the model of body segments;

A feature of the module is the implementation of a method for calculating the position of the center of gravity of a person in three-dimensional space according to the coordinates of the characteristic points of the human body.

Data analysis module.

The main task of the module is to analyze and calculate the results on the position of the center of gravity obtained from the module of stabilometric calculations. To solve this problem, the module provides the following data processing processes:

1. Calculation of summary and specialized medical characteristics of the position and rate of change of the position of the center of gravity, including extreme values, average values, REC, RMS, C90.

2. Construction of time sequences of coordinates of the position and rate of change in the position of the center of gravity.

3. Construction of the amplitude-frequency characteristics of the coordinates of the position and the rate of change in the position of the center of gravity.

4. Construction of statistical interval distributions of the coordinates of the position and the rate of change in the position of the center of gravity, including in the polar representation.

A feature of the module is the calculation and obtaining of the above characteristics for each of the three planes: horizontal, frontal and sagittal. The analogues given earlier give results only for the horizontal plane, due to a fundamentally different methodology for obtaining the initial data.

This technical solution is reduced to the use of a non-contact sensor to obtain the coordinates of the characteristic points of the human body with their further processing by computational algorithms to obtain the final results.

A non-contact sensor is a device for obtaining three-dimensional coordinates of the characteristic points of the human body (Fig. 3) located in the field of view of the sensor. The range of distance to a person for optimal sensor operation is from 1.5 to 6 meters. During operation, the sensor outputs the values of three-dimensional coordinates of 20 characteristic points of the body in real time at a frequency of about 30 times per second. A non-contact sensor is a device containing in its design cameras operating in the visible optical and infrared (IR) ranges, active IR emitters and a data processing microprocessor. When a person (Fig. 1, pos. 101) is in the field of view of the sensor (Fig. 5, pos. 503), the device determines the characteristic contour of the human figure using cameras and measures the three-dimensional coordinates of the characteristic points of the body (Fig. 3) using active IR emitters. As a result, the sensor provides real-time three-dimensional coordinates of the characteristic points of the body in the coordinate system associated with the optical axis of the sensor (Fig. 5, pos. 502).

Such characteristics make it possible to solve the set technical problem for a moving person and obtain the final results in three-dimensional space. Thus, three-dimensional coordinates of each characteristic point in the coordinate system (CS) associated with the sensor are received from the sensor (Fig. 5):

Considering that the optical axis of the sensor may not be in the horizontal plane, it is required to transform the obtained coordinates into the CS, where the Y axis coincides with the gravitational vertical. The tilt angle of the optical axis is calculated as:

where: z and y are the corresponding components of the quaternion of the floor plane determined by the sensor. Using the obtained angle of inclination, the coordinates of the characteristic points of the body are transformed into the gravitational CS:

The final stage in the processing of primary data from the sensor is the transformation of the coordinates of characteristic points into a local CS associated with a person. The midpoint between the projections of the feet on the supporting surface (floor) is taken as the start point of the local SC, while the XY axes plane takes into account the rotation of the human body relative to the sensor:

Where: x, y, z - coordinates of the point of origin of the local CS in the global CS; β - body rotation angle.

After processing the primary data, the main calculations and analysis of the obtained data are performed. To calculate the coordinates of the human CG, a model of body segments is built in three-dimensional space, where the coordinates of the CG of each body segment are calculated as:

where: index n - characteristic point of the body, which is the beginning of the body segment; index k - characteristic point of the body, which is the end of the body segment; r - dimensionless statistical shift (from 0 to 1) of the coordinates of the segment's CG, relative to its beginning.

The model uses 14 main significant segments identified on the human body. Based on the obtained model of human body segments, the coordinates of the human CG in three-dimensional space are calculated using the formula:

where: w is a dimensionless statistical fraction (from 0 to 1) of the mass of the segment in the total mass of the human body.

Additionally, for the kinematic and dynamic analysis of the motion of the body, the calculation of the velocities and accelerations of the characteristic points of the body is performed by the method of numerical differentiation:

where: V - speed of the characteristic point of the body at time t; A - acceleration of the characteristic point of the body at time t.

The above algorithms and techniques are used in the technical solution in the form of an implementation of a software and hardware complex.

The data stream with the coordinates of the characteristic points of the body from the sensor (Fig. 1, pos. 103) receives the Module for interaction with the sensor (Fig. 1, pos. 104). Since the obtained coordinates of the body points are tied to the sensor coordinate system (Fig. 5), their direct use in further calculations can lead to significant errors in cases where the optical axis of the sensor (Fig. 5, pos. 502) is not in the gravitational horizontal planes. This problem can be solved if additional measuring tools are used to align the sensor when installing the sensor. However, this solution is not optimal, as it complicates the process of using the complex. In this technical solution, a more optimal method is used - automatic software adjustment. Software adjustment uses data on the location of the floor plane received from the sensor and, with a given frequency, calculates the position of the optical axis of the sensor (Fig. 5, pos. 502) in the gravitational coordinate system. Based on these data, the Module converts the coordinates of body points from the sensor coordinate system to the gravitational coordinate system. For the obtained set of coordinates, the Module applies the functions of data smoothing and filtering to compensate for possible sensor measurement errors. The module contains three built-in smoothing and filtering algorithms, the use of which is specified in its settings. In addition to implementing the processes of receiving and processing data from the sensor in real time, the Module contains the functions of saving primary data flows in the storage (Fig. 1, pos. 105) with the possibility of full emulation of the sensor operation for data post-processing. The module is designed as a separate service application and implements the function of data delivery both for client applications on the same computer and for client applications in the local network via the TCP/IP protocol (Fig. 1, item 106). Thus, the Sensor Interaction Module implements the formation of sets of coordinates of body points in a gravitational coordinate system with smoothed coordinate values and the subsequent delivery of data sets to local and/or remote clients in real time.

The data stream (Fig. 1, pos. 106) from the Module for interaction with the sensor (Fig. 1, pos. 104) receives the Module of stabilometric calculations (Fig. 1, pos. 107). The key technique implemented in the Module is the algorithm for calculating the three-dimensional coordinates of the current position of the center of gravity of a person from the current values of the coordinates of the characteristic points of the body (Fig. 3). The implementation of the algorithm performs the following sequential actions:

1. Transformation of the coordinates of the characteristic points of the body into the local coordinate system of the human body model;

2. Building a model of human body segments in a local coordinate system. The segments of the model are shoulders, forearms, palms, thighs, shins, feet, etc.;

3. Calculation of the current position of the center of gravity based on the positions in space of body segments and their average statistical shares in the total weight of a person. As a result, the Module of stabilometric calculations implements the calculation of the current position of the center of gravity in a local three-dimensional coordinate system associated with a person (Fig. 2) in real time.

The stream of three-dimensional coordinates of the position of the center of gravity (Fig. 1, pos.108) from the Module of stabilometric calculations (Fig. 1, pos.107) receives the Data Analysis Module (Fig. 1, pos.109). To analyze the received data, the module uses the following methods:

1. Numerical differentiation of the values of the coordinates of the position of the center of gravity to obtain the velocities of the displacement of the center of gravity for each of the three spatial coordinates.

2. Algorithms for calculating summary specialized medical characteristics.

3. Fourier transform algorithms for obtaining amplitude-frequency characteristics and frequency analysis.

4. Statistical analysis algorithms for obtaining interval distributions.

The resulting data is grouped separately for each of the three planes (Fig. 2), which contain the following data, separately for the position and speed of the center of gravity:

1. Summary data;

2. Time sequences;

3. Amplitude-frequency characteristics;

4. Interval distributions;

5. Polar distributions.

As a result, the Data Analysis Module provides a wide range of data on the results of the analysis of three-dimensional coordinates of the position and the rate of change of the position of the center of gravity (Fig. 4, pos. 401), which are presented both in graphic (Fig. 4, pos. 402) and in tabular (Fig. 4, pos.403) types.

To illustrate the technical solution, figures of the drawings are given.

On FIG. 1 shows a block diagram of the technical solution.

Positions:

101. Patient;

102. Non-contact sensor;

103. Data stream with coordinates of characteristic points of the body;

104. Software module for interaction with the sensor;

105. Storage of primary data for post-processing;

106. The flow of pre-processed primary data;

107. Software module for stabilometric calculations;

108. Data stream with coordinates of the center of gravity;

109. Software module for data analysis;

110. Analysis results.

On FIG. 2 further represents planes in three-dimensional space. Positions:

201. Frontal plane;

202. Sagittal plane;

203. Horizontal plane;

On FIG. Figure 3 below shows the characteristic points of the body used in the t-counts.

Positions:

300. Center of the pelvis;

301. Center of spine;

302. Neck;

303. Head;

304. Left shoulder;

305. Left elbow;

306. Left wrist;

307. Left palm;

308. Right shoulder;

309. Right elbow;

310. Right wrist;

311. Right palm;

312. Left thigh;

313. Left knee;

314. Left ankle;

315. Left foot;

316. Right thigh;

317. Right knee;

318. Right ankle;

319. Right foot;

320. Center between collarbones.

On FIG. 4 shows an example of the obtained results of the analysis. Positions:

401. List for selecting the design characteristic (in the example, the stabilogram of the center of gravity for the frontal plane is selected);

402. Graphical representation of the values of the results of the selected design characteristic;

403. Tabular presentation of the values of the results of the selected design characteristic.

On FIG. 5 shows the coordinate system of the non-contact sensor. Positions:

501. Non-contact sensor;

502. Optical axis of the sensor;

503. Field of view of the sensor.

On FIG. 6, the general scheme of the computing device (600) will be presented below, providing the data processing necessary to implement the claimed solution.

In general, the device (600) contains components such as: one or more processors (601), at least one memory (602), data storage (603), input/output interfaces (604), I/O ( 605), networking tools (606).

The processor (601) of the device performs the basic computing operations necessary for the operation of the device (600) or the functionality of one or more of its components. The processor (601) executes the necessary machine-readable instructions contained in the main memory (602).

The memory (602) is typically in the form of RAM and contains the necessary software logic to provide the desired functionality.

The data storage means (603) can be in the form of HDD, SSD disks, raid array, network storage, flash memory, optical information storage devices (CD, DVD, MD, Blue-Ray disks), etc. The means (603) allows long-term storage of various types of information, for example, the aforementioned files with user data sets, a database containing records of time intervals measured for each user, user identifiers, etc.

Interfaces (604) are standard means for connecting and working with the server part, for example, USB, RS232, RJ45, LPT, COM, HDMI, PS/2, Lightning, FireWire, etc.

The choice of interfaces (604) depends on the specific implementation of the device (600), which can be a personal computer, mainframe, server cluster, thin client, smartphone, laptop, and the like.

As means of I/O data (605) in any embodiment of the system that implements the described method, the keyboard must be used. The keyboard hardware can be any known: it can be either a built-in keyboard used on a laptop or netbook, or a separate device connected to a desktop computer, server, or other computer device. In this case, the connection can be either wired, in which the keyboard connection cable is connected to the PS / 2 or USB port located on the system unit of the desktop computer, or wireless, in which the keyboard exchanges data via a wireless communication channel, for example, a radio channel, with base station, which, in turn, is directly connected to the system unit, for example, to one of the USB ports. In addition to the keyboard, I/O devices can also use: joystick, display (touchscreen), projector, touchpad, mouse, trackball, light pen, speakers, microphone, etc.

Means of networking (606) are selected from a device that provides network reception and transmission of data, for example, an Ethernet card, WLAN/Wi-Fi module, Bluetooth module, BLE module, NFC module, IrDa, RFID module, GSM modem, etc. With the help of tools (605) the organization of data exchange over a wired or wireless data transmission channel, for example, WAN, PAN, LAN (LAN), Intranet, Internet, WLAN, WMAN or GSM, is provided.

The components of the device (600) are coupled via a common data bus (610).

In these application materials, a preferred disclosure of the implementation of the claimed technical solution was presented, which should not be used as limiting other, private embodiments of its implementation, which do not go beyond the requested scope of legal protection and are obvious to specialists in the relevant field of technology.

Claims (37)

1. Software and hardware complex for non-contact calculation of the position of the center of gravity of a person in three-dimensional space, containing: a computing device connected to a non-contact sensor, configured to obtain three-dimensional coordinates of the characteristic points of the human body in the field of view of the sensor; module for interaction with a non-contact sensor, configured to: obtaining primary data from a non-contact sensor and pre-processing the received data for their subsequent transfer to the stabilometric calculation module; automatic calibration of the position of the optical axis of the sensor and transformation of the obtained coordinate points from the coordinate system associated with the position of the sensor into an independent gravitational coordinate system to ensure the independence of the values of the obtained primary data from the physical location of the sensor; filtering and smoothing primary data to increase the accuracy of subsequent calculations; records of primary data for subsequent emulation of the sensor operation with the possibility of post-processing from the selected set of records; sending pre-processed primary data to a computing device; a stabilometric calculation module, configured to calculate the position of the center of gravity of a person in a three-dimensional coordinate system in real time; a data analysis module configured to analyze and calculate the center of gravity position results obtained from the stabilometric calculation module. 2. The hardware-software complex according to claim 1, in which the contactless sensor interaction module has the ability to send pre-processed primary data to a computing device located within the local network and capable of receiving and processing primary data. 3. The software and hardware system according to claim 1, in which the stabilometric calculation module is configured to: building a three-dimensional model of human body segments according to the data received from the sensor interaction module; calculating the current position of the center of gravity of a person in three-dimensional space based on the model of body segments. 4. The software and hardware system according to claim 1, in which the data analysis module is configured to: calculation of summary and medical characteristics of the position and rate of change in the position of the center of gravity; construction of time sequences of coordinates of the position and rate of change of the position of the center of gravity; construction of amplitude-frequency characteristics of the coordinates of the position and the rate of change of the position of the center of gravity; construction of statistical interval distributions of the coordinates of the position and the rate of change in the position of the center of gravity, including in the polar representation. 5. The software and hardware system according to claim 1, in which the computing device is configured to communicate with the contactless sensor via a USB interface. 6. A method for non-contact calculation of the position of the center of gravity of a person in three-dimensional space, implemented by the hardware-software complex according to claim 1, containing the steps in which: through the module of interaction with a contactless sensor, the following is carried out: obtaining primary data from a non-contact sensor and pre-processing the data for their subsequent transfer to the module of stabilometric calculations; automatic calibration of the position of the optical axis of the sensor and transformation of the obtained coordinate points from the coordinate system associated with the position of the sensor into an independent gravitational coordinate system to ensure the independence of the values of the obtained primary data from the physical location of the sensor; filtering and smoothing primary data to increase the accuracy of subsequent calculations; recording primary data for subsequent emulation of the sensor with the possibility of post-processing from the selected set of records; sending pre-processed primary data to a computing device; by means of the module of stabilometric calculations, the position of the center of gravity of a person is calculated in a three-dimensional coordinate system in real time; by means of the data analysis module, the analysis and calculation of the results on the position of the center of gravity obtained from the stabilometric calculation module are carried out. 7. The method according to claim 6, in which the following is carried out using the stabilometric calculation module: building a three-dimensional model of human body segments according to the data received from the sensor interaction module; calculation of the current position of the center of gravity of a person in three-dimensional space based on the model of body segments. 8. The method according to claim 6, in which the following is carried out by means of the data analysis module: calculation of summary and medical characteristics of the position and rate of change in the position of the center of gravity; construction of time sequences of coordinates of the position and rate of change of the position of the center of gravity; construction of amplitude-frequency characteristics of the coordinates of the position and the rate of change of the position of the center of gravity; construction of statistical interval distributions of the coordinates of the position and the rate of change in the position of the center of gravity, including in the polar representation.

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