WO2016082660A1 - 一种将人体实际运动变换到虚拟场景中运动的方法 - Google Patents

一种将人体实际运动变换到虚拟场景中运动的方法 Download PDF

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WO2016082660A1
WO2016082660A1 PCT/CN2015/093639 CN2015093639W WO2016082660A1 WO 2016082660 A1 WO2016082660 A1 WO 2016082660A1 CN 2015093639 W CN2015093639 W CN 2015093639W WO 2016082660 A1 WO2016082660 A1 WO 2016082660A1
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motion
virtual
energy consumption
mode
actual
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French (fr)
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李旋
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李旋
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass

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  • the invention relates to a method for mapping human motion to motion in a virtual scene by energy consumption, and belongs to the technical field of human energy consumption measurement.
  • the existing device for monitoring the motion scheme can detect the energy consumption of the motion scheme in real time, and simultaneously detect the motion distance of the motion scheme.
  • the motion distance is different, so the motion distance cannot be used. Determine who is energy intensive between exercise programs.
  • the prior art can only monitor real-time sports energy consumption and the distance of motion in a real environment, and cannot monitor the moving distance that can be achieved by the same physical strength in the path of other geographical environments.
  • the present invention proposes a method for transforming the actual motion of a human body into a motion in a virtual scene, which can determine the energy consumption between different motions or the same motion through the position of the end point in the virtual scene.
  • the technical solution proposed by the present invention to solve the above technical problem is: a method for transforming the actual motion of the human body into the motion in the virtual scene, measuring the energy consumed by the actual motion of the human body, and measuring the energy consumed by the motion as a medium.
  • the energy consumed by the actual motion of the human body is mapped to the energy consumed by the virtual motion, and the distance of the virtual motion in the motion path of the virtual scene is obtained, thereby obtaining the motion end point of the virtual motion.
  • Step 1 The motion is divided into different motion modes, and the corresponding acceleration information is generated when the three-axis acceleration sensor worn by the human body obtains the motion;
  • Step 2 Sampling: For different motion modes, the test acceleration information generated by the motion is sampled, the motion mode test interval of the corresponding motion mode is determined, and the virtual motion speed in each motion mode is obtained at the same time;
  • Step 3 Establish a model: according to the height, weight, age, sex, and the acceleration information and the motion pattern of the sample, establish a corresponding energy consumption model for each exercise mode;
  • Step 4 When the human body actually moves, the three-axis acceleration sensor obtains the corresponding acceleration information at the time of the motion, and compares the acceleration information with the motion mode test interval determined in the second step to determine the motion mode;
  • Step 5 According to the motion mode determined in step 4, select the corresponding energy consumption model in step 3, and substitute the acceleration information measured by the actual motion of the human body in step 4 into the energy consumption model to solve the problem, thereby obtaining the actual motion. Energy consumed;
  • Step 6 Plan the motion path of the virtual motion in the virtual scene, so that A and B are two points on the path, A is the starting point, B is the motion end point, and the distance from point A to point B is d AB and point A.
  • the height to point B is h AB
  • a model of distance d AB and high h AB for A and B position information is respectively established, wherein position information of point A is known;
  • Step 7 Select a motion mode on the virtual motion path planned in step 6, and establish precipitation on the exercise mode, body height, weight, age, gender, and acceleration information, virtual exercise time, wind speed, altitude, and rain. , the amount of snowfall and the virtual energy consumption model of the temperature;
  • Step 8 According to the energy consumed by the actual motion obtained in step 5 and the virtual energy consumption model obtained in step 7, the energy consumed by the actual motion is equal to the virtual energy consumption, and the virtual motion time of the virtual motion on the virtual motion path is obtained;
  • Step 9 to create a virtual campaign on the virtual movement speed, virtual exercise time, the relationship of the distance d AB, derived from the virtual exercise time step two resulting virtual movement speed and step to get eight d AB, derived from the Sixth step
  • the distances d AB and high h AB are respectively related to the model of the A and B position information, and then the position information of the point B is obtained, thereby determining the position of the point B.
  • the determining method of the motion mode check interval of the corresponding motion mode in the second step includes the following steps:
  • Step 21 sampling, first giving a motion mode within the sampling duration, and acquiring acceleration information of the three-axis acceleration sensor within the sampling duration;
  • Step 22 determining the inspection interval; calculating the average power of the acceleration information of the triaxial acceleration sensor according to the acceleration information of the triaxial acceleration sensor, determining the fluctuation range of the acceleration information, and determining the acceleration information inspection interval of the triaxial acceleration sensor;
  • Step two or three, for another motion mode repeat steps 21 and 22 to obtain an acceleration information test interval of the three-axis acceleration sensor of the motion mode, and the acceleration information test interval is a motion mode check. Inspection interval.
  • the method for determining the virtual motion speed in each motion mode in the second step includes the following steps:
  • Step two or four sampling, first giving a motion mode within the sampling duration, and acquiring acceleration information of the three-axis acceleration sensor within the sampling duration;
  • Step 25 determining the motion speed of the motion mode according to the acceleration information of the triaxial acceleration sensor; and averaging the motion speed obtained within the sampling duration, and using the average value as the virtual motion speed of the motion mode;
  • Step two or six change another sport mode, repeat steps two four, two five, to obtain the virtual motion speed of the sport mode.
  • the energy consumed by the exercise includes a sum of a basic energy consumption and a corresponding energy consumption of each sport mode;
  • the sport mode in the first step includes three sports modes of walking, running, and cycling; each of the motion modes in the third step
  • the corresponding energy consumption models include walking, running, and riding self-consumption models;
  • the basic energy consumption for men and women, H, W, N, T are height, weight, age and exercise time respectively; ⁇ 1 1 , ⁇ 1 1 , ⁇ 1 1 , ⁇ 1 2 , ⁇ 1 2 , ⁇ 1 2 , ⁇ 1 2 , ⁇ 1 2 ,
  • the model of exercise energy consumption is:
  • the walking energy consumption values for men and women are respectively, H, W, V 2 and T 2 are height, weight, walking speed and walking time respectively; To correct the coefficient,
  • the exercise energy consumption model is:
  • the energy consumption values for men and women running are height, weight, running speed and running time respectively; To correct the coefficient,
  • the model of sports energy consumption is:
  • the energy consumption values of bicycles for men and women are respectively, H, W, V 4 and T 4 are height, weight, speed and riding time respectively; To correct the coefficient,
  • the energy consumed by the actual motion in the step 5 includes the sum of the actual basic energy consumption and the corresponding energy consumption of each motion mode; the energy consumed by the actual motion Said The energy consumed by the actual exercise, the actual basic energy consumption, the actual walking energy consumption, the actual running energy consumption, and the energy consumption of the cycling exercise; the motion time of each motion mode is the acceleration information of each motion mode in the acceleration information check The time of the interval; the walking speed and the running speed are calculated by the step frequency and the stride of the human walking measured by the triaxial acceleration sensor; the rotation speed is calculated by the human body step frequency parameter measured by the triaxial acceleration sensor, and The actual parameters obtained above are brought into the respective models in the third step, and the actual basic energy consumption, the actual walking energy consumption, the actual running energy consumption, and the cycling energy consumption are obtained.
  • E 5 is the virtual base energy consumption
  • E 6 is the energy consumption of the selected virtual motion mode
  • E 7 is the gravity work consumption
  • E 8 is the wind energy consumption
  • E 9 is the energy consumption of other environmental factors.
  • E 7 is the work of gravity, W, h AB is the weight and the height between A and B respectively; ⁇ 7 is the correction coefficient, ⁇ 7 (2.5, 5.3);
  • ⁇ is the wind resistance
  • p is the air mass density
  • v 2 is the wind speed
  • c is a constant
  • ⁇ is the angle between the direction of point A moving to point B and the wind direction
  • E 9 is the environmental energy consumption
  • i, j, k, m, ⁇ 9 , ⁇ 9 is the correction coefficient
  • O, R, Z, Q are the altitude, the precipitation of the rain, the amount of snowfall and the temperature
  • H, W, t are height, weight and virtual exercise time, respectively.
  • the virtual base energy consumption E 5 is a basic energy consumption related to the virtual motion time
  • the energy consumption E 6 of the selected virtual motion mode is a consumption of the motion mode related to the virtual exercise time.
  • the present invention measures the energy consumed by the human body motion, and uses the energy consumed by the motion as a medium to convert the human body motion into a displacement of the energy consumed by the virtual motion of the person from one point to another in the virtual scene, thereby determining Another point in the virtual scene, so that the human body motion can be converted into the motion between the two points on the map in the virtual scene, so the energy consumed by the human body motion can be judged by judging the distance between the two points. For the same starting point, the amount of energy consumed by the human body motion can be judged by judging the end position.
  • the invention converts the actual movement of the human body into virtual motions in different geographical environments by the energy consumed by the movement, so that the human body's movement can be estimated through the actual movement of the human body, thereby better guiding people.
  • a method of transforming the actual motion of a human body into a motion in a virtual scene measuring the energy consumed by the actual motion of the human body, and using the energy consumed by the motion as a medium, mapping the measured energy consumed by the actual motion of the human body to the energy consumed by the virtual motion. The energy obtains the distance of the virtual motion in the motion path of the virtual scene, thereby obtaining the motion end point of the virtual motion.
  • Step 1 The motion is divided into different motion modes, and the corresponding acceleration information is generated when the three-axis acceleration sensor worn by the human body obtains the motion;
  • Step 2 Sampling: For different motion modes, the test acceleration information generated by the motion is sampled, the motion mode test interval of the corresponding motion mode is determined, and the virtual motion speed in each motion mode is obtained at the same time;
  • Step 3 Establish a model: according to the height, weight, age, sex, and the acceleration information and the motion pattern of the sample, establish a corresponding energy consumption model for each exercise mode;
  • Step 4 When the human body actually moves, the three-axis acceleration sensor obtains the corresponding acceleration information at the time of the motion, and compares the acceleration information with the motion mode test interval determined in the second step to determine the motion mode;
  • Step 5 According to the motion mode determined in step 4, select the corresponding energy consumption model in step 3, and substitute the acceleration information measured by the actual motion of the human body in step 4 into the energy consumption model to solve the problem, thereby obtaining the actual motion. Energy consumed;
  • Step 6 Plan the motion path of the virtual motion in the virtual scene, so that A and B are two points on the path, A is the starting point, B is the motion end point, and the distance from point A to point B is d AB and point A.
  • the height to point B is h AB
  • a model of distance d AB and high h AB for A and B position information is respectively established, wherein position information of point A is known;
  • Step 7 Select a motion mode on the virtual motion path planned in step 6, and establish precipitation on the exercise mode, body height, weight, age, gender, and acceleration information, virtual exercise time, wind speed, altitude, and rain. , the amount of snowfall and the virtual energy consumption model of the temperature;
  • Step 8 According to the energy consumed by the actual motion obtained in step 5 and the virtual energy consumption model obtained in step 7, the energy consumed by the actual motion is equal to the virtual energy consumption, and the virtual motion is obtained in the virtual motion. Virtual motion time on the moving path;
  • Step 9 to create a virtual campaign on the virtual movement speed, virtual exercise time, the relationship of the distance d AB, derived from the virtual exercise time step two resulting virtual movement speed and step to get eight d AB, derived from the Sixth step
  • the distances d AB and high h AB are respectively related to the model of the A and B position information, and then the position information of the point B is obtained, thereby determining the position of the point B.
  • the determining method of the motion mode check interval of the corresponding motion mode in the second step includes the following steps:
  • Step 21 sampling, first giving a motion mode within the sampling duration, and acquiring acceleration information of the three-axis acceleration sensor within the sampling duration;
  • Step 22 determining the inspection interval; calculating the average power of the acceleration information of the triaxial acceleration sensor according to the acceleration information of the triaxial acceleration sensor, determining the fluctuation range of the acceleration information, and determining the acceleration information inspection interval of the triaxial acceleration sensor;
  • Step two or three another type of motion mode is repeated, and steps 21 and 22 are repeated to obtain an acceleration information test interval of the three-axis acceleration sensor of the motion mode, and the acceleration information test interval is a motion mode test interval.
  • the method for determining the virtual motion speed in each motion mode in the second step includes the following steps:
  • Step two or four sampling, first giving a motion mode within the sampling duration, and acquiring acceleration information of the three-axis acceleration sensor within the sampling duration;
  • Step 25 determining the motion speed of the motion mode according to the acceleration information of the triaxial acceleration sensor; and averaging the motion speed obtained within the sampling duration, and using the average value as the virtual motion speed of the motion mode;
  • Step two or six change another sport mode, repeat steps two four, two five, to obtain the virtual motion speed of the sport mode.
  • the energy consumed by the exercise includes a sum of a basic energy consumption and a corresponding energy consumption of each sport mode;
  • the sport mode in the first step includes three sports modes of walking, running, and cycling; each of the motion modes in the third step
  • the corresponding energy consumption models include walking, running, and riding self-consumption models;
  • H, W, N, T are height, weight, age and exercise time; ⁇ 1 2 , ⁇ 1 2 , ⁇ 1 2 , ⁇ 1 2 ,
  • the model of exercise energy consumption is:
  • the walking energy consumption values for men and women are respectively, H, W, V 2 and T 2 are height, weight, walking speed and walking time respectively; To correct the coefficient,
  • the exercise energy consumption model is:
  • the energy consumption values for men and women running are height, weight, running speed and running time respectively; To correct the coefficient,
  • the model of sports energy consumption is:
  • the energy consumption values of bicycles for men and women are respectively, H, W, V 4 and T 4 are height, weight, speed and riding time respectively; To correct the coefficient,
  • the energy consumed by the actual motion in the step 5 includes the sum of the actual basic energy consumption and the corresponding energy consumption of each motion mode; the energy consumed by the actual motion Said The energy consumed by the actual exercise, the actual basic energy consumption, the actual walking energy consumption, the actual running energy consumption, and the energy consumption of the cycling exercise; the motion time of each motion mode is the acceleration information of each motion mode in the acceleration information check The time of the interval; the walking speed and the running speed are calculated by the step frequency and the stride of the human walking measured by the triaxial acceleration sensor; the rotation speed is calculated by the human body step frequency parameter measured by the triaxial acceleration sensor, and The actual parameters obtained above are brought into the respective models in the third step, and the actual basic energy consumption, the actual walking energy consumption, the actual running energy consumption, and the cycling energy consumption are obtained.
  • E 5 is the virtual base energy consumption
  • E 6 is the energy consumption of the selected virtual motion mode
  • E 7 is the gravity work consumption
  • E 8 is the wind energy consumption
  • E 9 is the energy consumption of other environmental factors.
  • E 7 is the work of gravity, W, h AB is the weight and the height between A and B respectively; ⁇ 7 is the correction coefficient, ⁇ 7 (2.5, 5.3);
  • ⁇ is the wind resistance
  • p is the air mass density
  • v 2 is the wind speed
  • c is a constant
  • ⁇ is the angle between the direction of point A moving to point B and the wind direction
  • E 9 is the environmental energy consumption
  • i, j, k, m, ⁇ 9 , ⁇ 9 is the correction coefficient
  • O, R, Z, Q are the altitude, the precipitation of the rain, the amount of snowfall and the temperature
  • H, W, t are height, weight and virtual exercise time, respectively.
  • the virtual base energy consumption E 5 is the base energy consumption associated with the virtual motion time
  • the energy consumption E 6 of the selected virtual motion mode is the consumption of the motion mode associated with the virtual exercise time.
  • Measuring the energy consumed by the actual movement of the human body using the energy consumed by the motion as a medium, mapping the measured energy consumed by the actual motion of the human body to the energy consumed by the virtual motion, and obtaining the distance of the virtual motion in the motion path of the virtual scene.
  • the motion end point of the virtual motion is obtained. That is, the energy consumed by the actual motion of the human body is taken as the energy consumed by the virtual motion, and the motion time in the virtual scene is calculated according to the energy consumed by the virtual motion, and then the motion distance in the virtual scene is determined, and then the motion is obtained. Out of the end of the motion in the virtual scene.
  • the present invention is divided into a sampling and model building phase, each motion mode consumption measurement phase, and a virtual scene endpoint calculation phase.
  • Step 1 Divide the movement into different sports modes, which are divided into three modes: walking, running, and riding.
  • Three-axis acceleration sensors are worn on the joints, waist and head of the human body, and the three-axis acceleration is worn by the human body. The corresponding acceleration information is generated when the sensor obtains motion;
  • Step 2 Sampling: For different motion modes, the test acceleration information generated by the motion is sampled, the motion mode test interval of the corresponding motion mode is determined, and the virtual motion speed in each motion mode is obtained.
  • the determining method of the motion mode check interval of the corresponding motion mode in the second step includes the following steps:
  • Step 21 sampling, first giving a motion mode within the sampling duration, acquiring acceleration information of the three-axis acceleration sensor within the sampling duration; step 22, determining the inspection interval; and calculating the acceleration information according to the triaxial acceleration sensor The average power of the acceleration information of the triaxial acceleration sensor simultaneously determines the fluctuation range of the acceleration information, thereby determining the acceleration information inspection interval of the triaxial acceleration sensor;
  • Step two or three another type of motion mode is repeated, and steps 21 and 22 are repeated to obtain an acceleration information test interval of the three-axis acceleration sensor of the motion mode, and the acceleration information test interval is a motion mode test interval.
  • the method for determining the virtual motion speed in each motion mode in the second step includes the following steps:
  • Step two or four sampling, first giving a motion mode within the sampling duration, and acquiring acceleration information of the three-axis acceleration sensor within the sampling duration;
  • Step 25 determining the motion speed of the motion mode according to the acceleration information of the triaxial acceleration sensor; and averaging the motion speed obtained within the sampling duration, and using the average value as the virtual motion speed of the motion mode;
  • Step two or six change another sport mode, repeat steps two four, two five, to obtain the virtual motion speed of the sport mode.
  • a walking mode the person walks at a normal walking speed, and then collects the acceleration information of the three-axis acceleration sensor at a certain acquisition frequency, and calculates the walking speed corresponding to the acquisition according to the acceleration information, and the acquisition frequency is generally taken. Collect once in 0.5 seconds. Then, by such method, sampling is continuously performed within the sampling duration, and the walking speed corresponding to the acceleration information acquired is obtained, and the average walking speed is obtained by the arithmetic mean formula for the walking speed, and the average walking speed is taken as Virtual movement walking speed.
  • the typical sampling duration is 30-45 minutes. In the same way, you can get the virtual running speed and the virtual cycling speed.
  • Step 3 Establish a model: according to the height, weight, age, sex, and the acceleration information and the motion pattern of the sample, establish a corresponding energy consumption model for each exercise mode;
  • the energy consumed by the exercise includes a sum of the basic energy consumption and the corresponding energy consumption of each exercise mode; the corresponding energy consumption models of each exercise mode include walking, running, and riding self-consumption models;
  • H, W, N, T are height, weight, age and exercise time;
  • the model of exercise energy consumption is:
  • the walking energy consumption values for men and women are respectively, H, W, V 2 and T 2 are height, weight, walking speed and walking time.
  • the exercise energy consumption model is:
  • the energy consumption values for men and women are respectively, H, W, V 3 and T 3 are height, weight, running speed and running time.
  • the model of sports energy consumption is:
  • the energy consumption values of bicycles for men and women are respectively, H, W, V 4 and T 4 are height, weight, speed and riding time respectively.
  • Step 4 When the human body actually moves, the three-axis acceleration sensor obtains the corresponding acceleration information at the time of the motion, and compares the acceleration information with the motion mode test interval determined in the second step to determine the motion mode.
  • the motion mode check interval has been acquired in the sampling phase, when the human body actually moves, the acceleration information generated by the motion is acquired, and the acceleration information is compared with the motion mode test interval, and if the acceleration information falls in a certain motion mode check Within the interval, the motion at this time belongs to the motion pattern. For example, when the acceleration information falls within the mode check interval of the running sport, the motion at this time is the running sport. At the same time, the length of time in which the motion continuously falls within the same motion mode test interval is calculated, and the duration is taken as the actual exercise time of the motion pattern.
  • Step 5 According to the motion mode determined in step 4, select the corresponding energy consumption model in step 3, and substitute the acceleration information measured by the actual motion of the human body in step 4 into the energy consumption model to solve the problem, thereby obtaining the actual motion. Energy consumed;
  • the energy consumed by the actual motion in the step 5 includes the sum of the actual basic energy consumption and the corresponding energy consumption of each motion mode; the energy consumed by the actual motion Said E 1 , E 2 , E 3 , E 4 are the energy consumed by the actual exercise, the actual basic energy consumption, the actual walking exercise energy consumption, the actual running exercise energy consumption, and the cycling exercise energy consumption; the exercise time of each exercise mode
  • the acceleration information of each motion mode is in the time of the acceleration information check interval; the walking speed and the running speed are calculated by the step frequency and the stride of the human walking measured by the triaxial acceleration sensor; the rotational speed is measured by the triaxial acceleration sensor
  • the obtained human body step frequency parameter is calculated, and the actual parameters obtained above are brought into the respective models in the third step, and the actual basic energy consumption, the actual walking energy consumption, the actual running energy consumption, and the bicycle riding can be obtained.
  • H, W, N, T' are height, weight, age and actual exercise time respectively.
  • the actual basic energy consumption E 1 selects the corresponding basic energy consumption model of male or female according to the actual situation;
  • the model of exercise energy consumption is:
  • the walking energy consumption values for men and women are respectively, H, W, V 2 and T 2 ' are height, weight, walking speed and actual walking time respectively.
  • Actual walking exercise energy consumption E 2 selects the corresponding male or female walking mode according to the actual situation. Energy consumption model.
  • the exercise energy consumption model is:
  • the energy consumption values for men and women running, H, W, V 3 , T 3 ' are height, weight, running speed and actual running time.
  • the actual running energy consumption E 3 selects the corresponding male or female running mode energy consumption model according to the actual situation.
  • the model of sports energy consumption is:
  • the energy consumption values of bicycles for men and women are respectively, H, W, V 4 and T 4 ' are height, weight, speed and actual riding time.
  • the cycling energy consumption E 4 selects the corresponding male or female cycling mode energy consumption model according to the actual situation.
  • Step 6 Plan the motion path of the virtual motion in the virtual scene, so that A and B are two points on the path, A is the starting point, B is the motion end point, and the distance from point A to point B is d AB and point A.
  • the height to point B is h AB
  • the distance d AB and high h AB are respectively used to model the position information of A and B, wherein the position information of point A is known.
  • the invention uses GPS as a positioning system of a virtual scene, plans a moving path of the virtual motion through GPS, gives a starting point and a cut-off point on the map, and obtains a path of the starting point and the cut-off point through GPS, so that A and B are on the path.
  • a model of position information in which position information of point A is known, and position information of point A, that is, latitude and longitude information, can be provided by GPS.
  • latitude and longitude of A and B are (jA, wA), (jB, wB), and R is the radius of the Earth;
  • d AB R*arccos[sin(wA)sin(wB)+cos(wA)cos(wB)*cos(jA-jB)];
  • h AB R[sin(wB)-sin(wA)];
  • the distance d AB from point A to point B is calculated, and the end point B can be determined by the starting point A, thereby determining the position information of the point B.
  • Step 7 Select a motion mode on the virtual motion path planned in step 6, and establish precipitation on the exercise mode, body height, weight, age, gender, and acceleration information, virtual exercise time, wind speed, altitude, and rain. , the amount of snowfall and the virtual energy consumption model of temperature.
  • E 5 is the virtual base energy consumption
  • E 6 is the energy consumption of the selected virtual motion mode
  • E 7 is the gravity work consumption
  • E 8 is the wind energy consumption
  • E 9 is the energy consumption of other environmental factors.
  • the selected virtual motion mode of this embodiment is walking, then:
  • the model of exercise energy consumption is:
  • the virtual walking energy consumption values for men and women are respectively, H, W, V 2 , t are height, weight, walking speed and virtual walking time respectively.
  • the virtual walking exercise energy consumption E 6 selects the corresponding male or female virtual walking mode according to the actual situation. Energy consumption model. Similarly, the model of the exercise energy consumption when the exercise mode is running and cycling mode can be obtained.
  • H, W, N, t are height, weight, age and virtual exercise time respectively, virtual basic energy consumption E 5 according to the actual situation to select the corresponding male or female virtual basic energy consumption model;
  • E 7 is the work of gravity
  • W, h AB is the weight and the height between A and B respectively;
  • ⁇ is the wind resistance
  • p is the air mass density
  • v 2 is the wind speed
  • c is a constant
  • ⁇ is the angle between the direction of point A moving to point B and the wind direction
  • E 9 (0.0032O + 0.3859R + 0.4953Z + 0.5231Q) (0.0845H + 0.8282W) t + 56; where E 9 is the environmental energy consumption, O, R, Z, Q are altitude, rain Precipitation, snowfall, and temperature, where snowfall is calculated using rainfall when snowing, and altitude is provided by GPS based on the position at which it moves, H, W, and t are height, weight, and virtual exercise time, respectively.
  • Step 8 According to the energy consumed by the actual motion obtained in step 5 and the virtual energy consumption model obtained in step 7, the energy consumed by the actual motion is equal to the virtual energy consumption, and the virtual motion time of the virtual motion on the virtual motion path is obtained;
  • the energy consumed according to the actual motion is equal to the virtual energy consumption, and the model obtained in step 7 is solved, and the relationship between the virtual motion time and the distance and height between A and B is obtained.
  • Step 9 to create a virtual campaign on the virtual movement speed, virtual exercise time, the relationship of the distance d AB, derived from the virtual exercise time step two resulting virtual movement speed and step to get eight d AB, derived from the Sixth step
  • the distances d AB and high h AB are respectively related to the model of the A and B position information, and then the position information of the point B is obtained, thereby determining the position of the point B.
  • d AB vt, where v, t is the virtual motion speed and virtual walking time of the person on the virtual map.
  • the present invention has the following features:
  • the virtual scene of the present invention may be a specific actual scene, and is not limited to a virtual scene.
  • the conversion method is to use energy consumption as a medium. It is not simply to map the speed and time of the motion directly to the map. If the motion is directly mapped to the map by the motion speed, the direct distance between the two points on the map is used to judge different people.
  • the energy consumed is not scientific. Due to individual differences, at the same time, when running fast, the energy consumed is not necessarily high, and the slow running energy does not consume much energy, so simply move the actual movement through the speed or movement.
  • the distance is directly mapped to the map, and the amount of energy consumed by the distance on the map is not very significant.
  • the present invention uses energy consumption as an intermediate variable to map the actual motion into the virtual scene, and its own energy consumption is unchanged. However, the moving distance in the virtual scene changes, and the motion consumption is judged by the distance in the virtual scene, and the result is accurate and has a high reference significance.
  • the calculated results are seriously inconsistent with the actual exercise results, because different geographical environments have a greater impact on the human body's physical energy consumption.
  • the walking speed on the plain to directly calculate the moving distance in high altitude areas, because the human body is affected by factors such as altitude and climate, the energy consumed by the human body is much greater than the consumption on the plain, so during the actual exercise, At the same time, the distance of motion is much smaller than the estimated distance. Therefore, it is unscientific to calculate the motion distance in another geographical environment according to the motion speed in a geographical environment, and the present invention can be very good.
  • the present invention maps the measured energy consumed by the actual motion of the human body to the energy consumed by the virtual motion by using the energy consumed by the motion as a medium.
  • the distance of the virtual motion in the motion path of the virtual scene is obtained, and the motion end point of the virtual motion is obtained, so that the motion distance in another geographical environment can be well deduced.

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Abstract

一种将人体实际运动变换到虚拟场景中运动的方法，属于人体能量消耗测量技术领域。对人体实际运动消耗的能量进行测量,以运动消耗的能量为媒介，将测量得到的人体实际运动消耗的能量映射为虚拟运动所消耗的能量，得到该虚拟运动在虚拟场景的运动路径的距离，进而得到该虚拟运动的运动终点。通过可将人体运动转化到虚拟场景中的地图上两点间所做的运动，因此可通过判断虚拟场景中两点间的距离判断人体运动所消耗能量的大小。

Description

一种将人体实际运动变换到虚拟场景中运动的方法 技术领域
本发明涉及一种通过能量消耗将人体运动映射到虚拟场景中运动的方法，属于人体能量消耗测量技术领域。
背景技术
随着社会经济的不断发展，生活水平的不断提高，人们越来越关注自己的健康，为自己制定各种运动方案来健身，因此出现了各种健身器材以及用于监视运动方案的装置。
现有的监视运动方案的装置能够实时检测出该运动方案能量的消耗，同时检测出该运动方案的运动距离，但是，对于不同的运动方案，其运动距离是不同的，因此不能通过运动距离来判断运动方案之间到底谁的耗能大。
另外，现有技术只能在现实环境下监测实时的运动能量消耗以及运动的距离，而不能监测在其他地理环境的路径下，消耗同等体力所能达到的运动距离。
发明内容
本发明针对上述问题的不足，提出一种将人体实际运动变换到虚拟场景中运动的方法，该方法能够通过虚拟场景中终点的位置，判断不同运动或者同种运动之间的能量消耗。
本发明为解决上述技术问题提出的技术方案是：一种将人体实际运动变换到虚拟场景中运动的方法，对人体实际运动消耗的能量进行测量,以运动消耗的能量为媒介,将测量得到的人体实际运动消耗的能量映射为虚拟运动所消耗的能量,得到该虚拟运动在虚拟场景的运动路径的距离，进而得到该虚拟运动的运动终点。
包括以下步骤：
步骤一、将运动分为不同的运动模式，通过人体佩戴的三轴加速度传感器获得运动时产生相应的加速度信息；
步骤二、采样：针对不同的运动模式，对其运动产生的检验加速度信息进行采样，确定出其相应运动模式的运动模式检验区间，同时得到各运动模式下的虚拟运动速度；
步骤三、建立模型：根据人体身高、体重、年龄、性别、以及采样的加速度信息、运动模式，建立各运动模式相应的能耗模型；
步骤四、人体实际运动时，通过三轴加速度传感器获得此时运动产生相应的加速度信息，并将该加速度信息与步骤二中确定的运动模式检验区间进行比较检验，从而确定出其运动模式；
步骤五，根据步骤四中判断的运动模式，选择步骤三中相应的能耗模型，将步骤四中人体实际运动测得的加速度信息代入到该能耗模型中进行求解，从而得出其实际运动消耗的能量；
步骤六，在虚拟场景中规划虚拟运动的运动路径，令A、B为该路径上的两点，A为起始点，B为运动终点，记A点到B点的距离为dAB以及A点到B点的高为hAB，建立距离dAB、高hAB分别关于A、B位置信息的模型，其中，A点位置信息已知；
步骤七，在步骤六中规划的虚拟运动路径上选择一种运动模式，建立关于运动模式、人体身高、体重、年龄、性别、以及加速度信息、虚拟运动时间、风速、海拔高度，雨的降水量，降雪量以及温度的虚拟能量消耗模型；
步骤八、根据步骤五得到的实际运动消耗的能量以及步骤七得到的虚拟能量消耗模型，由实际运动消耗的能量等于虚拟能量消耗，得到该虚拟运动在虚拟运动路径上的虚拟运动时间；
步骤九、建立虚拟运动关于虚拟运动速度、虚拟运动时间、距离dAB的关系式，根据步骤二得到的虚拟运动速度和步骤八得到的虚拟运动时间得出距离dAB，由步骤六中得出的距离dAB、高hAB分别关于A、B位置信息的模型，进而得出B点的位置信息，从而确定出B点的位置。
所述步骤二中相应运动模式的运动模式检验区间的确定方法，包括以下步骤：
步骤二一，采样，首先在采样时长内给定一种运动模式，获取三轴加速度传感器在采样时长内的加速度信息；
步骤二二，确定检验区间；根据三轴加速度传感器的加速度信息，并计算三轴加速度传感器的加速度信息平均功率，同时确定加速度信息波动区间，进而确定三轴加速度传感器的加速度信息检验区间；
步骤二三，换另一种运动模式，重复步骤二一、二二，得到该运动模式的三轴加速度传感器的加速度信息检验区间，该加速度信息检验区间即为运动模式检 验区间。
所述步骤二中各运动模式下的虚拟运动速度的确定方法，包括以下步骤：
步骤二四，采样，首先在采样时长内给定一种运动模式，获取三轴加速度传感器在采样时长内的加速度信息；
步骤二五，根据三轴加速度传感器的加速度信息，确定该运动模式的运动速度；并对该采样时长内得到的运动速度求平均值，将该平均值作为该运动模式的虚拟运动速度；
步骤二六，换另一种运动模式，重复步骤二四、二五，得到该运动模式的虚拟运动速度。
所述运动消耗的能量包括基础能量消耗和各运动模式相应的能耗的总和；所述步骤一中运动模式包括步行、跑步、以及骑自行车三种运动模式；所述步骤三中的各运动模式相应的能耗模型包括步行、跑步、以及骑自行能耗模型；
基础能量消耗模型：
男：
Figure PCTCN2015093639-appb-000001
女：
Figure PCTCN2015093639-appb-000002
其中,
Figure PCTCN2015093639-appb-000003
分别为男女基础能量消耗，H,W,N,T分别为身高，体重，年龄以及运动时间；α1 1，β1 1，η1 1，
Figure PCTCN2015093639-appb-000004
α1 2，β1 2，η1 2，
Figure PCTCN2015093639-appb-000005
为修正系数，，α1 1∈(0.2,0.3)，β1 1∈(0.5,0.6)，η1 1∈(0.25,0.35)，
Figure PCTCN2015093639-appb-000006
α1 2∈(0.1,0.2)，β1 2∈(0.3,0.4)，η1 2∈(0.1,0.2)，
Figure PCTCN2015093639-appb-000007
运动模式为步行模式时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000008
女性：
Figure PCTCN2015093639-appb-000009
其中，
Figure PCTCN2015093639-appb-000010
分别为男女步行能量消耗值，H,W,V2,T2分别为身高，体重，步行速度以及步行时间；
Figure PCTCN2015093639-appb-000011
为修正系数，
Figure PCTCN2015093639-appb-000012
Figure PCTCN2015093639-appb-000013
运动模式为跑步时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000014
女性：
Figure PCTCN2015093639-appb-000015
其中：
Figure PCTCN2015093639-appb-000016
分别为男女跑步能量消耗值，H,W,V3,T3分别为身高，体重，跑步速度以及跑步时间；
Figure PCTCN2015093639-appb-000017
为修正系数，
Figure PCTCN2015093639-appb-000018
Figure PCTCN2015093639-appb-000019
运动模式为骑自行车模式时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000020
女性：
Figure PCTCN2015093639-appb-000021
其中：
Figure PCTCN2015093639-appb-000022
分别为男女骑自行车能量消耗值，H,W,V4,T4分别为身高，体重，转速以及骑行时间；
Figure PCTCN2015093639-appb-000023
为修正系数，
Figure PCTCN2015093639-appb-000024
Figure PCTCN2015093639-appb-000025
所述步骤五中实际运动消耗的能量包括实际中基础能量消耗以及各运动模式相应的能耗的总和；所述实际运动消耗的能量
Figure PCTCN2015093639-appb-000026
所述
Figure PCTCN2015093639-appb-000027
分别为实际运动消耗的能量，实际基础能量消耗，实际步行运动能量消耗，实际跑步运动能量消耗以及骑自行车运动能量消耗；所述各运动模式的运动时间为各运动模式的加速度信息在加速度信息检验区间的时间；所述步行速度、跑步速度由三轴加速度传感器测得的人体步行的步频与步幅计算得到；所述转速由三轴加速度传感器测得的人体蹬踏步频参数计算得到，将上述得到的实际参数带入到所述步骤三中的各模型，即可得到实际基础能量消耗，实际步行运动能量消耗，实际跑步运动能量消耗以及骑自行车运动能量消耗。
所述步骤七中的虚拟能量消耗
Figure PCTCN2015093639-appb-000028
其中，
Figure PCTCN2015093639-appb-000029
为虚拟能量消耗，E5为虚拟基础能量消耗，E6为选定的虚拟运动模式的能量消耗，E7为重力做功消耗，E8为风能量消耗，E9为其他环境因素能量消耗。
所述重力做功消耗模型：E7＝β7WhAB；
其中，E7为重力做功消耗，W,hAB分别为体重和A、B之间的高度；β7为修正系数，β7(2.5,5.3)；
所述风消耗模型：
Figure PCTCN2015093639-appb-000030
其中，ρ为风阻，p为空气质量密度，v2为风速，c为常量，θ为A点运动到B点的方向与风向之间的夹角；
其他环境因素消耗模型：
Figure PCTCN2015093639-appb-000031
其中，E9为环境耗能，i,j,k,m,α9,β9为修正系数，O,R,Z,Q分别为海拔高度，雨的降水量，降雪量以及温度，H,W,t分别为身高、体重以及虚拟运动时间，
Figure PCTCN2015093639-appb-000032
为常量，i∈(0.003,0.004)，j∈(0.38,0.42)，k∈(0.49,0.51)，m∈(0.50,0.55)，α9∈(0.05,0.1)，β9∈(0.8,1.12)，
Figure PCTCN2015093639-appb-000033
所述虚拟基础能量消耗E5是与虚拟运动时间有关系的基础能量消耗，选定的虚拟运动模式的能量消耗E6是与虚拟运动时间有关系的运动模式的消耗。
本发明的一种将人体实际运动变换到虚拟场景中运动的方法，相比现有技术，具有以下有益效果：
1.由于本发明通过对人体运动消耗的能量进行测量,以运动消耗的能量为媒介,将人体运动转化为人在虚拟场景中从一点到另一点虚拟运动所对应的消耗的能量的位移，从而确定另一点在虚拟场景中的位置，因此可将人体运动转化到虚拟场景中的地图上两点间所做的运动，因此可通过判断两点间的距离判断人体运动所消耗能量的大小。而对于相同的始点，可通过判断是终点位置，判断人体运动所消耗能量的大小。
2.本发明由于通过运动消耗的能量将人体实际运动转化为不同地理环境下的虚拟运动，因此能够通过人体实际运动推测在其他地理环境的路径下人体运动的消耗，从而能更好的指导人们科学的规划未来的行程，防止因为体力不足，在该环境下运动时发生意外。
具体实施方式
为了更好的说明本发明的技术方案，以下将详细地说明本发明的技术方案。
实施例
一种将人体实际运动变换到虚拟场景中运动的方法，对人体实际运动消耗的能量进行测量,以运动消耗的能量为媒介,将测量得到的人体实际运动消耗的能量映射为虚拟运动所消耗的能量,得到该虚拟运动在虚拟场景的运动路径的距离，进而得到该虚拟运动的运动终点。
包括以下步骤：
步骤一、将运动分为不同的运动模式，通过人体佩戴的三轴加速度传感器获得运动时产生相应的加速度信息；
步骤二、采样：针对不同的运动模式，对其运动产生的检验加速度信息进行采样，确定出其相应运动模式的运动模式检验区间，同时得到各运动模式下的虚拟运动速度；
步骤三、建立模型：根据人体身高、体重、年龄、性别、以及采样的加速度信息、运动模式，建立各运动模式相应的能耗模型；
步骤四、人体实际运动时，通过三轴加速度传感器获得此时运动产生相应的加速度信息，并将该加速度信息与步骤二中确定的运动模式检验区间进行比较检验，从而确定出其运动模式；
步骤五，根据步骤四中判断的运动模式，选择步骤三中相应的能耗模型，将步骤四中人体实际运动测得的加速度信息代入到该能耗模型中进行求解，从而得出其实际运动消耗的能量；
步骤六，在虚拟场景中规划虚拟运动的运动路径，令A、B为该路径上的两点，A为起始点，B为运动终点，记A点到B点的距离为dAB以及A点到B点的高为hAB，建立距离dAB、高hAB分别关于A、B位置信息的模型，其中，A点位置信息已知；
步骤七，在步骤六中规划的虚拟运动路径上选择一种运动模式，建立关于运动模式、人体身高、体重、年龄、性别、以及加速度信息、虚拟运动时间、风速、海拔高度，雨的降水量，降雪量以及温度的虚拟能量消耗模型；
步骤八、根据步骤五得到的实际运动消耗的能量以及步骤七得到的虚拟能量消耗模型，由实际运动消耗的能量等于虚拟能量消耗，得到该虚拟运动在虚拟运 动路径上的虚拟运动时间；
步骤九、建立虚拟运动关于虚拟运动速度、虚拟运动时间、距离dAB的关系式，根据步骤二得到的虚拟运动速度和步骤八得到的虚拟运动时间得出距离dAB，由步骤六中得出的距离dAB、高hAB分别关于A、B位置信息的模型，进而得出B点的位置信息，从而确定出B点的位置。
所述步骤二中相应运动模式的运动模式检验区间的确定方法，包括以下步骤：
步骤二一，采样，首先在采样时长内给定一种运动模式，获取三轴加速度传感器在采样时长内的加速度信息；
步骤二二，确定检验区间；根据三轴加速度传感器的加速度信息，并计算三轴加速度传感器的加速度信息平均功率，同时确定加速度信息波动区间，进而确定三轴加速度传感器的加速度信息检验区间；
步骤二三，换另一种运动模式，重复步骤二一、二二，得到该运动模式的三轴加速度传感器的加速度信息检验区间，该加速度信息检验区间即为运动模式检验区间。
所述步骤二中各运动模式下的虚拟运动速度的确定方法，包括以下步骤：
步骤二四，采样，首先在采样时长内给定一种运动模式，获取三轴加速度传感器在采样时长内的加速度信息；
步骤二五，根据三轴加速度传感器的加速度信息，确定该运动模式的运动速度；并对该采样时长内得到的运动速度求平均值，将该平均值作为该运动模式的虚拟运动速度；
步骤二六，换另一种运动模式，重复步骤二四、二五，得到该运动模式的虚拟运动速度。
所述运动消耗的能量包括基础能量消耗和各运动模式相应的能耗的总和；所述步骤一中运动模式包括步行、跑步、以及骑自行车三种运动模式；所述步骤三中的各运动模式相应的能耗模型包括步行、跑步、以及骑自行能耗模型；
基础能量消耗模型：
男：
Figure PCTCN2015093639-appb-000034
女：
Figure PCTCN2015093639-appb-000035
其中,
Figure PCTCN2015093639-appb-000036
分别为男女基础能量消耗，H,W,N,T分别为身高，体重，年龄以及运动时间；
Figure PCTCN2015093639-appb-000037
Figure PCTCN2015093639-appb-000038
α1 2，β1 2，η1 2，
Figure PCTCN2015093639-appb-000039
为修正系数，，α1 1∈(0.2,0.3)，β1 1∈(0.5,0.6)，η1 1∈(0.25,0.35)，
Figure PCTCN2015093639-appb-000040
α1 2∈(0.1,0.2)，β1 2∈(0.3,0.4)，η1 2∈(0.1,0.2)，
Figure PCTCN2015093639-appb-000041
运动模式为步行模式时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000042
女性：
Figure PCTCN2015093639-appb-000043
其中，
Figure PCTCN2015093639-appb-000044
分别为男女步行能量消耗值，H,W,V2,T2分别为身高，体重，步行速度以及步行时间；
Figure PCTCN2015093639-appb-000045
为修正系数，
Figure PCTCN2015093639-appb-000046
Figure PCTCN2015093639-appb-000047
运动模式为跑步时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000048
女性：
Figure PCTCN2015093639-appb-000049
其中：
Figure PCTCN2015093639-appb-000050
分别为男女跑步能量消耗值，H,W,V3,T3分别为身高，体重，跑步速度以及跑步时间；
Figure PCTCN2015093639-appb-000051
为修正系数，
Figure PCTCN2015093639-appb-000052
Figure PCTCN2015093639-appb-000053
运动模式为骑自行车模式时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000054
女性：
Figure PCTCN2015093639-appb-000055
其中：
Figure PCTCN2015093639-appb-000056
分别为男女骑自行车能量消耗值，H,W,V4,T4分别为身高，体重，转速以及骑行时间；
Figure PCTCN2015093639-appb-000057
为修正系数，
Figure PCTCN2015093639-appb-000058
Figure PCTCN2015093639-appb-000059
所述步骤五中实际运动消耗的能量包括实际中基础能量消耗以及各运动模式相应的能耗的总和；所述实际运动消耗的能量
Figure PCTCN2015093639-appb-000060
所述
Figure PCTCN2015093639-appb-000061
分别为实际运动消耗的能量，实际基础能量消耗，实际步行运动能量消耗，实际跑步运动能量消耗以及骑自行车运动能量消耗；所述各运动模式的运动时间为各运动模式的加速度信息在加速度信息检验区间的时间；所述步行速度、跑步速度由三轴加速度传感器测得的人体步行的步频与步幅计算得到；所述转速由三轴加速度传感器测得的人体蹬踏步频参数计算得到，将上述得到的实际参数带入到所述步骤三中的各模型，即可得到实际基础能量消耗，实际步行运动能量消耗，实际跑步运动能量消耗以及骑自行车运动能量消耗。
所述步骤七中的虚拟能量消耗
Figure PCTCN2015093639-appb-000062
其中，
Figure PCTCN2015093639-appb-000063
为虚拟能量消耗，E5为虚拟基础能量消耗，E6为选定的虚拟运动模式的能量消耗，E7为重力做功消耗，E8为风能量消耗，E9为其他环境因素能量消耗。
所述重力做功消耗模型：E7＝β7WhAB；
其中，E7为重力做功消耗，W,hAB分别为体重和A、B之间的高度；β7为修正系数，β7(2.5,5.3)；
所述风消耗模型：
Figure PCTCN2015093639-appb-000064
其中，ρ为风阻，p为空气质量密度，v2为风速，c为常量，θ为A点运动到B点的方向与风向之间的夹角；
其他环境因素消耗模型：
Figure PCTCN2015093639-appb-000065
其中，E9为环境耗能，i,j,k,m,α9,β9为修正系数，O,R,Z,Q分别为海拔高度，雨的降水量，降雪量以及温度，H,W,t分别为身高、体重以及虚拟运动时间，
Figure PCTCN2015093639-appb-000066
为常量，i∈(0.003,0.004)，j∈(0.38,0.42)，k∈(0.49,0.51)，m∈(0.50,0.55)，α9∈(0.05,0.1)，β9∈(0.8,1.12)，
Figure PCTCN2015093639-appb-000067
所述虚拟基础能量消耗E5是与虚拟运动时间有关系的基础能量消耗，选定 的虚拟运动模式的能量消耗E6是与虚拟运动时间有关系的运动模式的消耗。
为了更好的说明本发明，先给出其一个实例进行说明：
对人体实际运动消耗的能量进行测量,以运动消耗的能量为媒介,将测量得到的人体实际运动消耗的能量映射为虚拟运动所消耗的能量,得到该虚拟运动在虚拟场景的运动路径的距离，进而得到该虚拟运动的运动终点。也就是将人体实际运动消耗的能量作为虚拟运动所消耗的能量，根据这个虚拟运动所消耗的能量计算出其在虚拟场景中的运动时间，然后求出其在虚拟场景中的运动距离，进而求出其在虚拟场景中的运动终点。
将本发明分为采样和模型建立阶段、各运动模式消耗测量阶段以及虚拟场景终点计算阶段。
采样和模型建立阶段：
步骤一、将运动分为不同的运动模式，具体分为步行、跑步、以及骑自行三种模式，在人体的四肢关节点、腰部以及头部佩戴三轴加速度传感器，通过人体佩戴的三轴加速度传感器获得运动时产生相应的加速度信息；
步骤二、采样：针对不同的运动模式，对其运动产生的检验加速度信息进行采样，确定出其相应运动模式的运动模式检验区间，同时得到各运动模式下的虚拟运动速度。
所述步骤二中相应运动模式的运动模式检验区间的确定方法，包括以下步骤：
步骤二一，采样，首先在采样时长内给定一种运动模式，获取三轴加速度传感器在采样时长内的加速度信息；步骤二二，确定检验区间；根据三轴加速度传感器的加速度信息，并计算三轴加速度传感器的加速度信息平均功率，同时确定加速度信息波动区间，进而确定三轴加速度传感器的加速度信息检验区间；
步骤二三，换另一种运动模式，重复步骤二一、二二，得到该运动模式的三轴加速度传感器的加速度信息检验区间，该加速度信息检验区间即为运动模式检验区间。
所述步骤二中各运动模式下的虚拟运动速度的确定方法，包括以下步骤：
步骤二四，采样，首先在采样时长内给定一种运动模式，获取三轴加速度传感器在采样时长内的加速度信息；
步骤二五，根据三轴加速度传感器的加速度信息，确定该运动模式的运动速度；并对该采样时长内得到的运动速度求平均值，将该平均值作为该运动模式的虚拟运动速度；
步骤二六，换另一种运动模式，重复步骤二四、二五，得到该运动模式的虚拟运动速度。
如给定步行模式，人以正常的步行速度进行步行，然后以一定的采集频率采集一次三轴加速度传感器的加速度信息，根据该加速度信息计算出这次采集所对应的步行速度，采集频率一般取0.5秒采集一次。然后通过这样的方法持续地在采样时长内的进行采样，得出每次采集的加速度信息所对应的步行速度，对该步行速度通过算术平均值公式求取平均步行速度，将此平均步行速度作为虚拟运动步行速度。一般的采样时长为30-45分钟。用同样的方法，即可得到虚拟跑步速度和虚拟骑自行车速度。
步骤三、建立模型：根据人体身高、体重、年龄、性别、以及采样的加速度信息、运动模式，建立各运动模式相应的能耗模型；
所述运动消耗的能量包括基础能量消耗和各运动模式相应的能耗的总和；各运动模式相应的能耗模型包括步行、跑步、以及骑自行能耗模型；
基础能量消耗模型：
男：
Figure PCTCN2015093639-appb-000068
女：
Figure PCTCN2015093639-appb-000069
其中,
Figure PCTCN2015093639-appb-000070
分别为男女基础能量消耗，H,W,N,T分别为身高，体重，年龄以及运动时间；
运动模式为步行模式时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000071
女性：
Figure PCTCN2015093639-appb-000072
其中，
Figure PCTCN2015093639-appb-000073
分别为男女步行能量消耗值，H,W,V2,T2分别为身高，体重，步行速度以及步行时间。
运动模式为跑步时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000074
女性：
Figure PCTCN2015093639-appb-000075
其中：
Figure PCTCN2015093639-appb-000076
分别为男女跑步能量消耗值，H,W,V3,T3分别为身高，体重，跑步速度以及跑步时间。
运动模式为骑自行车模式时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000077
女性：
Figure PCTCN2015093639-appb-000078
其中：
Figure PCTCN2015093639-appb-000079
分别为男女骑自行车能量消耗值，H,W,V4,T4分别为身高，体重，转速以及骑行时间。
各运动模式消耗测量阶段
步骤四、人体实际运动时，通过三轴加速度传感器获得此时运动产生相应的加速度信息，并将该加速度信息与步骤二中确定的运动模式检验区间进行比较检验，从而确定出其运动模式。
由于在采样阶段已经获取了运动模式检验区间，因此此时人体实际运动时，获取其运动产生的加速度信息，将此加速度信息与运动模式检验区间进行比较，若加速度信息落在某个运动模式检验区间内，则此时的运动属于该运动模式。比如，此时加速度信息落在跑步运动的模式检验区间内，则此时的运动为跑步运动。同时，计算运动连续落在同一个运动模式检验区间内的时长，该时长作为该运动模式的实际运动时间
步骤五，根据步骤四中判断的运动模式，选择步骤三中相应的能耗模型，将步骤四中人体实际运动测得的加速度信息代入到该能耗模型中进行求解，从而得出其实际运动消耗的能量；
所述步骤五中实际运动消耗的能量包括实际中基础能量消耗以及各运动模式相应的能耗的总和；所述实际运动消耗的能量
Figure PCTCN2015093639-appb-000080
所述
Figure PCTCN2015093639-appb-000081
E1,E2,E3,E4分别为实际运动消耗的能量，实际基础能量消耗，实际步行运动能量消耗，实际跑步运动能量消耗以及骑自行车运动能量消耗；所述各运动模式的运动时间为各运动模式的加速度信息在加速度信息检验区间的时间；所述步行速度、跑步速度由三轴加速度传感器测得的人体步行的步频与步幅计算得到；所述转速由三轴加速度传感器测得的人体蹬踏步频参数计算得到，将上述得到的实 际参数带入到所述步骤三中的各模型，即可得到实际基础能量消耗，实际步行运动能量消耗，实际跑步运动能量消耗以及骑自行车运动能量消耗。
实际基础能量消耗模型：
男：
Figure PCTCN2015093639-appb-000082
女：
Figure PCTCN2015093639-appb-000083
其中,
Figure PCTCN2015093639-appb-000084
分别为男女基础能量消耗，H,W,N,T'分别为身高，体重，年龄以及实际运动时间，实际基础能量消耗E1根据实际情况选择对应的男或女的基础能量消耗模型；
运动模式为步行模式时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000085
女性：
Figure PCTCN2015093639-appb-000086
其中，
Figure PCTCN2015093639-appb-000087
分别为男女步行能量消耗值，H,W,V2,T2'分别为身高，体重，步行速度以及实际步行时间，实际步行运动能量消耗E2根据实际情况选择对应的男或女的步行模式能量消耗模型。
运动模式为跑步时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000088
女性：
Figure PCTCN2015093639-appb-000089
其中：
Figure PCTCN2015093639-appb-000090
分别为男女跑步能量消耗值，H,W,V3,T3'分别为身高，体重，跑步速度以及实际跑步时间。实际跑步运动能量消耗E3根据实际情况选择对应的男或女的跑步模式能量消耗模型。
运动模式为骑自行车模式时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000091
女性：
Figure PCTCN2015093639-appb-000092
其中：
Figure PCTCN2015093639-appb-000093
分别为男女骑自行车能量消耗值，H,W,V4,T4'分别为身高，体重，转速以及实际骑行时间。骑自行车运动能量消耗E4根据实际情况选择对 应的男或女的骑自行车模式能量消耗模型。
步骤六，在虚拟场景中规划虚拟运动的运动路径，令A、B为该路径上的两点，A为起始点，B为运动终点，记A点到B点的距离为dAB以及A点到B点的高为hAB，建立距离dAB、高hAB分别关于A、B位置信息的模型，其中，A点位置信息已知。
本发明通过用GPS作为虚拟场景的定位系统，通过GPS规划虚拟运动的运动路径，给出在地图上的始点和截止点，通过GPS获得始点和截止点的路径，令A、B为该路径上的两点，A为起始点，B为运动终点，记A点到B点的距离为dAB以及A点到B点的高为hAB，建立距离dAB、高hAB分别关于A、B位置信息的模型，其中，A点位置信息已知，A点位置信息即经纬度信息，可由GPS提供。
记，A、B的经纬度分别为(jA,wA)，(jB,wB),R为地球半径；
dAB＝R*arccos[sin(wA)sin(wB)+cos(wA)cos(wB)*cos(jA-jB)]；
hAB＝R[sin(wB)-sin(wA)]；
由于A、B两点都在地图上相应的规划路径，因此计算出A点到B点的距离dAB，就可通过起点A确定出终点B，从而确定出B点的位置信息。
步骤七，在步骤六中规划的虚拟运动路径上选择一种运动模式，建立关于运动模式、人体身高、体重、年龄、性别、以及加速度信息、虚拟运动时间、风速、海拔高度，雨的降水量，降雪量以及温度的虚拟能量消耗模型。
所述步骤七中的虚拟能量消耗
Figure PCTCN2015093639-appb-000094
其中，
Figure PCTCN2015093639-appb-000095
为虚拟能量消耗，E5为虚拟基础能量消耗，E6为选定的虚拟运动模式的能量消耗，E7为重力做功消耗，E8为风能量消耗，E9为其他环境因素能量消耗。
本实施例的选定的虚拟运动模式为步行，则：
选定的虚拟运动模式的能量消耗E6：
运动模式为步行模式时，其运动能量消耗模型为：
男性：
Figure PCTCN2015093639-appb-000096
女性：
Figure PCTCN2015093639-appb-000097
其中，
Figure PCTCN2015093639-appb-000098
分别为男女虚拟步行能量消耗值，H,W,V2,t分别为身高，体重，步行速度以及虚拟步行时间，虚拟步行运动能量消耗E6根据实际情况选择对应的男或女的虚拟步行模式能量消耗模型。同理，可得到运动模式为跑步和骑自行车模式时，其运动能量的消耗模型。
虚拟基础能量消耗模型：
男：
Figure PCTCN2015093639-appb-000099
女：
Figure PCTCN2015093639-appb-000100
其中,
Figure PCTCN2015093639-appb-000101
分别为男女虚拟基础能量消耗，H,W,N,t分别为身高，体重，年龄以及虚拟运动时间，虚拟基础能量消耗E5根据实际情况选择对应的男或女的虚拟基础能量消耗模型；
所述重力做功消耗模型：E7＝2.68WhAB；
其中，E7为重力做功消耗，W,hAB分别为体重和A、B之间的高度；
所述风消耗模型：
Figure PCTCN2015093639-appb-000102
其中，ρ为风阻，p为空气质量密度，v2为风速，c为常量，θ为A点运动到B点的方向与风向之间的夹角；
其他环境因素消耗模型：
E9＝(0.0032O+0.3859R+0.4953Z+0.5231Q)(0.0845H+0.8282W)t+56；其中，E9为环境耗能，O,R,Z,Q分别为海拔高度，雨的降水量，降雪量以及温度，其中降雪量采用下雪时的降雨量进行计算，海拔高度由GPS根据移动时的位置进行提供，H,W,t分别为身高、体重以及虚拟运动时间。
步骤八、根据步骤五得到的实际运动消耗的能量以及步骤七得到的虚拟能量消耗模型，由实际运动消耗的能量等于虚拟能量消耗，得到该虚拟运动在虚拟运动路径上的虚拟运动时间；
根据实际运动消耗的能量等于虚拟能量消耗，对步骤七得到的模型进行化解，得到虚拟运动时间与A、B之间的距离和高度的关系式。
步骤九、建立虚拟运动关于虚拟运动速度、虚拟运动时间、距离dAB的关系 式，根据步骤二得到的虚拟运动速度和步骤八得到的虚拟运动时间得出距离dAB，由步骤六中得出的距离dAB、高hAB分别关于A、B位置信息的模型，进而得出B点的位置信息，从而确定出B点的位置。
根据步骤二得到的虚拟运动速度和步骤八得到的虚拟运动时间得到：
dAB＝vt，其中v,t为人在虚拟地图上的虚拟运动速度和虚拟行走时间。
由步骤八得到的虚拟运动时间与A、B之间的距离和高度的关系式，步骤六得到的A、B之间的距离和高度的关于位置信息的关系式dAB＝R*arccos[sin(wA)sin(wB)+cos(wA)cos(wB)*cos(jA-jB)]；hAB＝R[sin(wB)-sin(wA)]；以及三角函数关系式，求解出B点的位置信息(经纬度信息)，根据该经纬度信息GPS进行定位，从而确定出B点的位置。
由上述可知，本发明具有以下特点：
1.本发明的虚拟场景可以是具体的实际场景，并不仅仅限于虚拟场景。其转化方式是通过能量消耗作为媒介，并不是简单的将运动的速度与时间直接映射到地图中，如果直接通过运动速度将运动映射到地图上，通过地图上两点直接的距离来判断不同人所消耗的能量并不科学。由于个体的差异，在同一时间下，跑步速度快的，其消耗的能量并不一定多，跑步速度慢的其消耗的能量并不会很少，因此只简单的将实际运动通过运动速度或者运动距离直接映射到地图中，通过地图上的距离判断他们消耗能量大小，意义并不是很大，本发明通过能量消耗作为中间变量，将实际运动映射到虚拟场景中去，其本身的消耗能量不变，但其在虚拟场景中的运动距离有变化，通过其虚拟场景中的距离判断他们的运动消耗，其结果准确，具有很高的参考意义。
2.如果以现实运动速度乘以运动时间来直接推算在不同地理环境下的运动距离，其计算的结果与实际运动结果严重不符，因为不同的地理环境对人体的体能消耗的影响差异较大，比如，用平原上的步行速度直接来推算在高海拔地区的运动距离，由于人体受海拔、气候等因素的影响，人体消耗的能量远大于在平原上的消耗，因此在实际运动过程中，在相同的时间下，其运动的距离远远小于推算的距离，因此，根据一种地理环境下的运动速度去推算另一种地理环境下的运动距离是不科学的，而本发明能够很好的解决该问题，本发明通过以运动消耗的能量为媒介,将测量得到的人体实际运动消耗的能量映射为虚拟运动所消耗的能 量,得到该虚拟运动在虚拟场景的运动路径的距离，进而得到该虚拟运动的运动终点，因此能够很好的推算出另一种地理环境下的运动距离。
上面所描述的本发明优选具体实施例仅用于说明本发明的实施方式，而不是作为对前述发明目的和所附权利要求内容和范围的限制，凡是依据本发明的技术实质对以上实施例所做的任何简单修改、等同变化与修饰，均仍属本发明技术和权利保护范畴。

Claims (8)

  1. 一种将人体实际运动变换到虚拟场景中运动的方法，其特征在于:对人体实际运动消耗的能量进行测量,以运动消耗的能量为媒介,将测量得到的人体实际运动消耗的能量映射为虚拟运动所消耗的能量,得到该虚拟运动在虚拟场景的运动路径的距离，进而得到该虚拟运动的运动终点。
  2. 根据权利要求1所述将人体实际运动变换到虚拟场景中运动的方法，其特征在于，包括以下步骤：
    步骤一、将运动分为不同的运动模式，通过人体佩戴的三轴加速度传感器获得运动时产生相应的加速度信息；
    步骤二、采样：针对不同的运动模式，对其运动产生的检验加速度信息进行采样，确定出其相应运动模式的运动模式检验区间，同时得到各运动模式下的虚拟运动速度；
    步骤三、建立模型：根据人体身高、体重、年龄、性别、以及采样的加速度信息、运动模式，建立各运动模式相应的能耗模型；
    步骤四、人体实际运动时，通过三轴加速度传感器获得此时运动产生相应的加速度信息，并将该加速度信息与步骤二中确定的运动模式检验区间进行比较检验，从而确定出其运动模式；
    步骤五，根据步骤四中判断的运动模式，选择步骤三中相应的能耗模型，将步骤四中人体实际运动测得的加速度信息代入到该能耗模型中进行求解，从而得出其实际运动消耗的能量；
    步骤六，在虚拟场景中规划虚拟运动的运动路径，令A、B为该路径上的两点，A为起始点，B为运动终点，记A点到B点的距离为dAB以及A点到B点的高为hAB，建立距离dAB、高hAB分别关于A、B位置信息的模型，其中，A点位置信息已知；
    步骤七，在步骤六中规划的虚拟运动路径上选择一种运动模式，建立关于运动模式、人体身高、体重、年龄、性别、以及加速度信息、虚拟运动时间、风速、海拔高度，雨的降水量，降雪量以及温度的虚拟能量消耗模型；
    步骤八、根据步骤五得到的实际运动消耗的能量以及步骤七得到的虚拟能量消耗模型，由实际运动消耗的能量等于虚拟能量消耗，得到该虚拟运动在虚拟运动路径上的虚拟运动时间；
    步骤九、建立虚拟运动关于虚拟运动速度、虚拟运动时间、距离dAB的关系式，根据步骤二得到的虚拟运动速度和步骤八得到的虚拟运动时间得出距离dAB，由步骤六中得出的距离dAB、高hAB分别关于A、B位置信息的模型，进而得出B点的位置信息，从而确定出B点的位置。
  3. 根据权利要求2所述将人体实际运动变换到虚拟场景中运动的方法，其特征在于，所述步骤二中相应运动模式的运动模式检验区间的确定方法，包括以下步骤：
    步骤二一，采样，首先在采样时长内给定一种运动模式，获取三轴加速度传感器在采样时长内的加速度信息；
    步骤二二，确定检验区间；根据三轴加速度传感器的加速度信息，并计算三轴加速度传感器的加速度信息平均功率，同时确定加速度信息波动区间，进而确定三轴加速度传感器的加速度信息检验区间；
    步骤二三，换另一种运动模式，重复步骤二一、二二，得到该运动模式的三轴加速度传感器的加速度信息检验区间，该加速度信息检验区间即为运动模式检验区间。
  4. 根据权利要求3所述将人体实际运动变换到虚拟场景中运动的方法，其特征在于，所述步骤二中各运动模式下的虚拟运动速度的确定方法，包括以下步骤：
    步骤二四，采样，首先在采样时长内给定一种运动模式，获取三轴加速度传感器在采样时长内的加速度信息；
    步骤二五，根据三轴加速度传感器的加速度信息，确定该运动模式的运动速度；并对该采样时长内得到的运动速度求平均值，将该平均值作为该运动模式的虚拟运动速度；
    步骤二六，换另一种运动模式，重复步骤二四、二五，得到该运动模式的虚拟运动速度。
  5. 根据权利要求4所述将人体实际运动变换到虚拟场景中运动的方法，其特征在于：所述运动消耗的能量包括基础能量消耗和各运动模式相应的能耗的总和；所述步骤一中运动模式包括步行、跑步、以及骑自行车三种运动模式；所述步骤三中的各运动模式相应的能耗模型包括步行、跑步、以及骑自行能 耗模型；
    基础能量消耗模型：
    男：
    Figure PCTCN2015093639-appb-100001
    女：
    Figure PCTCN2015093639-appb-100002
    其中,
    Figure PCTCN2015093639-appb-100003
    分别为男女基础能量消耗，H,W,N,T分别为身高，体重，年龄以及运动时间；
    Figure PCTCN2015093639-appb-100004
    为修正系数，，
    Figure PCTCN2015093639-appb-100005
    Figure PCTCN2015093639-appb-100006
    Figure PCTCN2015093639-appb-100007
    Figure PCTCN2015093639-appb-100008
    Figure PCTCN2015093639-appb-100009
    Figure PCTCN2015093639-appb-100010
    Figure PCTCN2015093639-appb-100011
    Figure PCTCN2015093639-appb-100012
    运动模式为步行模式时，其运动能量消耗模型为：
    男性：
    Figure PCTCN2015093639-appb-100013
    女性：
    Figure PCTCN2015093639-appb-100014
    其中，
    Figure PCTCN2015093639-appb-100015
    分别为男女步行能量消耗值，H,W,V2,T2分别为身高，体重，步行速度以及步行时间；
    Figure PCTCN2015093639-appb-100016
    为修正系数，
    Figure PCTCN2015093639-appb-100017
    Figure PCTCN2015093639-appb-100018
    Figure PCTCN2015093639-appb-100019
    Figure PCTCN2015093639-appb-100020
    Figure PCTCN2015093639-appb-100021
    Figure PCTCN2015093639-appb-100022
    运动模式为跑步时，其运动能量消耗模型为：
    男性：
    Figure PCTCN2015093639-appb-100023
    女性：
    Figure PCTCN2015093639-appb-100024
    其中：
    Figure PCTCN2015093639-appb-100025
    分别为男女跑步能量消耗值，H,W,V3,T3分别为身高，体重，跑步速度以及跑步时间；
    Figure PCTCN2015093639-appb-100026
    为修正系数，
    Figure PCTCN2015093639-appb-100027
    Figure PCTCN2015093639-appb-100028
    Figure PCTCN2015093639-appb-100029
    Figure PCTCN2015093639-appb-100030
    Figure PCTCN2015093639-appb-100031
    Figure PCTCN2015093639-appb-100032
    运动模式为骑自行车模式时，其运动能量消耗模型为：
    男性：
    Figure PCTCN2015093639-appb-100033
    女性：
    Figure PCTCN2015093639-appb-100034
    其中：
    Figure PCTCN2015093639-appb-100035
    分别为男女骑自行车能量消耗值，H,W,V4,T4分别为身高，体重，转速以及骑行时间；
    Figure PCTCN2015093639-appb-100036
    为修正系数，
    Figure PCTCN2015093639-appb-100037
    Figure PCTCN2015093639-appb-100038
    Figure PCTCN2015093639-appb-100039
    Figure PCTCN2015093639-appb-100040
    Figure PCTCN2015093639-appb-100041
    Figure PCTCN2015093639-appb-100042
  6. 根据权利要求5所述将人体实际运动变换到虚拟场景中运动的方法，其特征在于：所述步骤五中实际运动消耗的能量包括实际中基础能量消耗以及各运动模式相应的能耗的总和；所述实际运动消耗的能量
    Figure PCTCN2015093639-appb-100043
    所述
    Figure PCTCN2015093639-appb-100044
    E1,E2,E3,E4分别为实际运动消耗的能量，实际基础能量消耗，实际步行运动能量消耗，实际跑步运动能量消耗以及骑自行车运动能量消耗；所述各运动模式的运动时间为各运动模式的加速度信息在加速度信息检验区间的时间；所述步行速度、跑步速度由三轴加速度传感器测得的人体步行的步频与步幅计算得到；所述转速由三轴加速度传感器测得的人体蹬踏步频参数计算得到，将上述得到的实际参数带入到所述步骤三中的各模型，即可得到实际基础能量消耗，实际步行运动能量消耗，实际跑步运动能量消耗以及骑自行车运动能量消耗。
  7. 根据权利要求6所述将人体实际运动变换到虚拟场景中运动的方法，其特征在于：所述步骤七中的虚拟能量消耗
    Figure PCTCN2015093639-appb-100045
    其中，
    Figure PCTCN2015093639-appb-100046
    为虚拟能量消耗，E5为虚拟基础能量消耗，E6为选定的虚拟运动模式的能量消耗，E7为重力做功消耗，E8为风能量消耗，E9为其他环境因素能量消耗。
  8. 根据权利要求7所述将人体实际运动变换到虚拟场景中运动的方法，其特征在于：
    所述重力做功消耗模型：E7＝β7WhAB；
    其中，E7为重力做功消耗，W,hAB分别为体重和A、B之间的高度；β7为修正系数，β7(2.5,5.3)；
    所述风消耗模型：
    Figure PCTCN2015093639-appb-100047
    其中，ρ为风阻，p为空气质量密度，v2为风速，c为常量，θ为A点运动到B点的方向与风向之间的夹角；
    其他环境因素消耗模型：
    Figure PCTCN2015093639-appb-100048
    其中，E9为环境耗能，i,j,k,m,α9,β9为修正系数，O,R,Z,Q分别为海拔高度，雨的降水量，降雪量以及温度，H,W,t分别为身高、体重以及虚拟运动时间，
    Figure PCTCN2015093639-appb-100049
    为常量，i∈(0.003,0.004)，j∈(0.38,0.42)，k∈(0.49,0.51)，m∈(0.50,0.55)，α9∈(0.05,0.1)，β9∈(0.8,1.12)，
    Figure PCTCN2015093639-appb-100050
    所述虚拟基础能量消耗E5是与虚拟运动时间有关系的基础能量消耗，选定的虚拟运动模式的能量消耗E6是与虚拟运动时间有关系的运动模式的消耗。
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1923325A (zh) * 2005-08-30 2007-03-07 任天堂株式会社 游戏系统和其上存储有游戏程序的存储介质
JP2007144107A (ja) * 2005-10-25 2007-06-14 Vr Sports:Kk 運動補助システム
CN102527037A (zh) * 2010-11-19 2012-07-04 东芝三星存储技术韩国株式会社 游戏控制器、游戏机以及使用该游戏控制器的游戏系统
CN103656988A (zh) * 2013-08-06 2014-03-26 刘涛 节电型智能游戏跑步机
CN104111978A (zh) * 2014-06-25 2014-10-22 京东方科技集团股份有限公司 能量消耗测量方法以及能量消耗测量系统
CN104361248A (zh) * 2014-11-25 2015-02-18 李旋 一种将人体实际运动变换到虚拟场景中运动的方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6770040B2 (en) * 2000-05-30 2004-08-03 Barbara Perner Rehabilitation device for persons with paresis of lower limbs enabling them to walk
CN101553860A (zh) * 2005-11-28 2009-10-07 鲍尔格力德健身器材公司 可操作地对具有等长锻炼系统的虚拟现实场景进行控制的方法和设备
CN102226880A (zh) * 2011-06-03 2011-10-26 北京新岸线网络技术有限公司 一种基于虚拟现实的体感操作方法及系统
KR20130076374A (ko) * 2011-12-28 2013-07-08 삼성전자주식회사 운동량 측정 방법 및 이를 적용한 디스플레이 장치
CN103258338A (zh) * 2012-02-16 2013-08-21 克利特股份有限公司 利用真实数据来驱动仿真的虚拟环境的方法和系统

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1923325A (zh) * 2005-08-30 2007-03-07 任天堂株式会社 游戏系统和其上存储有游戏程序的存储介质
JP2007144107A (ja) * 2005-10-25 2007-06-14 Vr Sports:Kk 運動補助システム
CN102527037A (zh) * 2010-11-19 2012-07-04 东芝三星存储技术韩国株式会社 游戏控制器、游戏机以及使用该游戏控制器的游戏系统
CN103656988A (zh) * 2013-08-06 2014-03-26 刘涛 节电型智能游戏跑步机
CN104111978A (zh) * 2014-06-25 2014-10-22 京东方科技集团股份有限公司 能量消耗测量方法以及能量消耗测量系统
CN104361248A (zh) * 2014-11-25 2015-02-18 李旋 一种将人体实际运动变换到虚拟场景中运动的方法

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