Human motion state recognition method and device

A technology of human body movement and state, applied in the direction of measuring devices, measuring distances, instruments, etc., can solve problems such as equipment detachment, motionlessness, false sleep, etc., and achieve the effect of improving accuracy

Active Publication Date: 2016-04-20
GOERTEK INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology allows for more than one type of sensor on your watch or other portables that can detect changes caused by movements made around it (such as when someone falls). It then combines these signals into something like how well they're supposedly going through their normal activity without being affected by external factors like lighting conditions. By analyzing this data over time, we aimed at improving our ability to recognize pauses between different activities accurately while also preventing them getting stuck down too much inside outdoors due to lack of sunlight.

Problems solved by technology

The technical problem addressed in this patented method relates to improving athletic performance through accurate measurement of movement over longer periods while maintaining privacy from external sources such as noise interference.

Method used

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  • Human motion state recognition method and device
  • Human motion state recognition method and device

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Experimental program
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Embodiment 1

[0038] In this embodiment, multiple sensors are combined with human body characteristics (such as heart rate detection) to achieve the effect of more accurately obtaining the walking and running state of the human body.

[0039] Because different walking states have different stride frequency and physical signs, this embodiment uses wearable devices with acceleration sensors and physical signs sensors to monitor the movement of the human body in real time, and identify the walking state of the human body in combination with motion characteristics and biological characteristics. The walking state in this embodiment includes a walking state and a running state, and the number of walking steps includes the number of walking steps and the number of running steps.

[0040] figure 1 The flow chart of the identification method for the human body motion state provided in this embodiment, as figure 1 as shown, figure 1 The methods in include:

[0041] S110, setting a triaxial accele...

Embodiment 2

[0080] In this embodiment, multiple sensors are combined with human body characteristics (such as heart rate detection) to achieve a more accurate distinction between the sleeping state and the waking state of the human body.

[0081] In this embodiment, the sleep state is divided into light sleep state and deep sleep state. Because different degrees of sleep state correspond to different motion energies, and when the wearable device is placed at rest and when the wearable device is worn by the human body and enters the sleep state, the output of the human body sign sensor Human body signs are not the same. Therefore, this embodiment uses a wearable device with an acceleration sensor and a human body sign sensor to identify the sleep state of the human body in combination with motion characteristics and human body signs.

[0082] Figure 4 The flow chart of the identification method for the human body motion state provided in this embodiment, as Figure 4 as shown, Figure ...

Embodiment 3

[0148] Based on the same technical concept as that of Embodiment 1, this embodiment provides a device for identifying human motion states.

[0149] Figure 7 The schematic diagram of the identification device for the human body motion state provided in this embodiment, as Figure 7 as shown, Figure 7 The identification devices in include:

[0150] The walking pace calculation unit 71 is used to calculate the number of walking steps of the human body according to the acceleration signal collected by the triaxial acceleration sensor when judging that the human body is in a walking state according to the acceleration signal collected by the triaxial acceleration sensor of the wearable device, and according to the The number of walking steps calculates the walking pace.

[0151] The sign frequency calculation unit 72 is configured to calculate the corresponding sign frequency during walking according to the sign signal collected by the human body sign sensor of the detection d...

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Abstract

The invention discloses a human motion state recognition method and device. The method comprises the steps that a three-axis acceleration sensor and a human body sign sensor are arranged in a wearable device; it is determined that a human body is in the walking state according to acceleration signals collected by the three-axis acceleration sensor, the number of walking steps of the human body is calculated, and the walking stride frequency is calculated according to the number of walking steps; the corresponding sign frequency in the walking process is calculated according to sign signals collected by the human body sign sensor; the calculated walking stride frequency and the sign frequency are compared with a stride frequency threshold value and a sign frequency threshold value, and when the walking stride frequency is larger than the stride frequency threshold value and the sign frequency is larger than the sign frequency threshold value, it is determined that the human body motion state is the running state, and the calculated walking step number is recorded as running step number; or, it is determined that the human body motion state is the walking state, and the calculated walking step number is recorded as the walking step number. According to the technical scheme, the human motion state recognition method and device can effectively distinguish the walking state and the running state of the walking state.

Description

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Claims

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Application Information

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Owner GOERTEK INC
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