Human motion analytical method based on heart rate and acceleration sensor and device based on method

Abstract

The invention relates to a human motion analytical method based on heart rate and an acceleration sensor and a device based on the method, which can detect the motion state of unobvious limb motions of weightlifting, strength training, yoga and the like. The human motion analytical method based on the heart rate and the acceleration sensor comprises the step that the motion state S is obtained by a triaxial accelerometer and a heart rate sensor. The data of the triaxial accelerometer and the data of the heart rate sensor are combined, cross comparison is carried out, various aerobic exercises and anaerobic exercises and sleep are effectively detected, results are more accurate, the condition that a product mistakenly prompts entering the motion state because of washing hands, folding up a quilt and other operation is effectively prevented, particularly when the product is used for judging the motion that the limbs do not move, such as the strength training, the yoga and the weightlifting, the condition is avoided, and the feedback used for stimulating a user to keep the state is provided.

Description

technical field

[0001] The invention relates to a human body motion analysis method based on a heart rate and acceleration sensor and a device thereof, which can detect motion states such as weightlifting, strength training, yoga and other body movements that are not obvious. Background technique

[0002] Existing technical means mainly judge whether it is in a state of motion through the change of the three-axis gravity acceleration instrument. In this case, it is easy to make a misjudgment. For example, a limb moves suddenly and greatly, but it is not in a state of motion. And it is impossible to judge some sports where the limbs do not move, such as strength training, yoga, weightlifting, etc.

[0003] Chinese patent application number: 201310574984.X, which discloses "a motion state monitoring and feedback device and its method" The motion state monitoring and feedback device is characterized in that it includes: a three-axis accelerometer for real-time acquisition The ...

Examples

Embodiment 1

[0034] Embodiment one: see figure 1 , the human body motion analysis method based on heart rate and acceleration sensors, the steps are as follows: Step 1) judge whether it is the motion state S1 through the three-axis accelerometer 4, including:

[0035] First, the acceleration in three directions x, y, and z is obtained by the three-axis accelerometer 4, and the integrated value AMP is calculated by the processor 2. The calculation formula of AMP is as follows:

[0036] Formula 1

[0037] where x is the lateral acceleration, y is the longitudinal acceleration perpendicular to x, and z is the vertical acceleration perpendicular to x and y. Then, according to T 1 to T 2 The formula for calculating the curve area E formed by AMP and time by the processor 2 in the time period T is as follows:

[0038] Formula 2

[0039] Then, use the above formula to calculate, when the processor 2 judges that the area E from the current time point back to T minutes is greater than S...

Embodiment 2

[0053]Embodiment 2: A data processing, acquisition and identification device based on the human body motion analysis method of a heart rate and acceleration sensor in Embodiment 1. The data processing, acquisition and identification device in this embodiment is a wearable device 1 such as a smart sports bracelet, including The processor 2, the heart rate sensor 3, the triaxial accelerometer 4, the output feedback device 5 and the peripheral circuit 6, the heart rate sensor 3, the triaxial accelerometer 4, the output feedback device 5 and the peripheral circuit 6 are respectively electrically connected to the processor 2, and the processing The device 2 is mainly used to complete data calculation, and the output feedback device 5 is an LED lamp, a motor, a display, etc. In order to facilitate the equipment to transmit data wirelessly, this product is also provided with a wireless transmission device 7. The wireless transmission device 7 in this embodiment is a Bluetooth or NFC c...

technical field

[0001] The invention relates to a human body motion analysis method based on a heart rate and acceleration sensor and a device thereof, which can detect motion states such as weightlifting, strength training, yoga and other body movements that are not obvious. Background technique

[0002] Existing technical means mainly judge whether it is in a state of motion through the change of the three-axis gravity acceleration instrument. In this case, it is easy to make a misjudgment. For example, a limb moves suddenly and greatly, but it is not in a state of motion. And it is impossible to judge some sports where the limbs do not move, such as strength training, yoga, weightlifting, etc.

[0003] Chinese patent application number: 201310574984.X, which discloses "a motion state monitoring and feedback device and its method" The motion state monitoring and feedback device is characterized in that it includes: a three-axis accelerometer for real-time acquisition The ...

Examples

Embodiment 1

[0034] Embodiment one: see figure 1 , the human body motion analysis method based on heart rate and acceleration sensors, the steps are as follows: Step 1) judge whether it is the motion state S1 through the three-axis accelerometer 4, including:

[0035] First, the acceleration in three directions x, y, and z is obtained by the three-axis accelerometer 4, and the integrated value AMP is calculated by the processor 2. The calculation formula of AMP is as follows:

[0036] Formula 1

[0037] where x is the lateral acceleration, y is the longitudinal acceleration perpendicular to x, and z is the vertical acceleration perpendicular to x and y. Then, according to T 1 to T 2 The formula for calculating the curve area E formed by AMP and time by the processor 2 in the time period T is as follows:

[0038] Formula 2

[0039] Then, use the above formula to calculate, when the processor 2 judges that the area E from the current time point back to T minutes is greater than S...

Embodiment 2

[0053]Embodiment 2: A data processing, acquisition and identification device based on the human body motion analysis method of a heart rate and acceleration sensor in Embodiment 1. The data processing, acquisition and identification device in this embodiment is a wearable device 1 such as a smart sports bracelet, including The processor 2, the heart rate sensor 3, the triaxial accelerometer 4, the output feedback device 5 and the peripheral circuit 6, the heart rate sensor 3, the triaxial accelerometer 4, the output feedback device 5 and the peripheral circuit 6 are respectively electrically connected to the processor 2, and the processing The device 2 is mainly used to complete data calculation, and the output feedback device 5 is an LED lamp, a motor, a display, etc. In order to facilitate the equipment to transmit data wirelessly, this product is also provided with a wireless transmission device 7. The wireless transmission device 7 in this embodiment is a Bluetooth or NFC c...

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