CN111383420A - Fall detection method and equipment - Google Patents
Fall detection method and equipment Download PDFInfo
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- CN111383420A CN111383420A CN201811647490.9A CN201811647490A CN111383420A CN 111383420 A CN111383420 A CN 111383420A CN 201811647490 A CN201811647490 A CN 201811647490A CN 111383420 A CN111383420 A CN 111383420A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0446—Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
Abstract
The embodiment of the application belongs to the technical field of fall detection, and relates to a fall detection method and equipment. The technical scheme provided by the application comprises the following steps: determining a preset threshold value of the measurement data when the user falls according to the measurement data detected by the detection equipment worn by the user; detecting real-time measurement data by using at least one sensor, and continuously comparing the real-time measurement data with a preset threshold value; when the real-time measurement data exceed the preset threshold value, the falling judgment is triggered, through falling detection equipment worn on the body of a user, the preset threshold value of the measurement data when the user falls is set according to the measurement data detected when the user falls, the user continuously detects the use state when wearing the falling detection equipment to obtain the real-time measurement data, then the real-time measurement data and the preset threshold value are compared continuously, and when the real-time measurement data exceed the preset threshold value, the falling judgment is triggered, so that the falling detection can be accurately and timely carried out on the user.
Description
Technical Field
The present application relates to fall detection technologies, and in particular, to a fall detection method and apparatus.
Background
Along with the increase of social aging, the solitary phenomenon of the old people is more and more common. The health of the old is an urgent problem to be solved for both family members and society. The old people easily fall down due to the degradation of the functions of all parts of the body, and the falling down can cause immeasurable damage to the mind and body of the old people. Therefore, the method has important practical significance for detecting the falling of the old.
The existing falling detection method based on video images intelligently judges whether a monitored object falls down through a video monitoring system, can give an alarm to related personnel in time, takes remedial measures in time and reduces unnecessary life and property loss. The research on intelligent video monitoring in China is still in a preliminary stage at present, a monitoring system needs to be attended by a special person for a long time, precious human resources are consumed, the visual fatigue and the attention of a monitor are reduced due to long-time monitoring, and the phenomenon of detection leakage is easy to occur.
Disclosure of Invention
The invention aims to provide a fall detection method which can accurately and timely detect the fall of a user.
In order to solve the above-mentioned problems, embodiments of the present invention provide the following technical solutions:
a fall detection method comprising the steps of:
determining a preset threshold value of the measurement data when the user falls according to the measurement data detected by the detection equipment worn by the user;
detecting real-time measurement data by using at least one sensor, and continuously comparing the real-time measurement data with a preset threshold value;
and triggering falling judgment when the real-time measurement data exceeds a preset threshold value.
Further, the step of detecting real-time measurement data by using at least one sensor and continuously comparing the real-time measurement data with a preset threshold value specifically includes:
detecting the acceleration of a user by using a three-axis acceleration sensor;
detecting impact energy borne by a user by using a collision sensor;
and continuously comparing the acceleration data measured in real time with an acceleration preset threshold value and the impact energy data measured in real time with an impact energy preset threshold value.
Further, when the real-time measurement data exceeds a preset threshold, triggering a fall determination step specifically includes:
and triggering falling judgment when the acceleration of the user and the impact energy of the user exceed the preset threshold values.
Further, the step of detecting real-time measurement data by using at least one sensor and continuously comparing the real-time measurement data with a preset threshold value further includes:
the atmospheric pressure is detected by the air pressure sensor to judge the change of the user in height.
Further, the triggering the fall determination step when the real-time measurement data exceeds a preset threshold value further includes:
when the acceleration of the user and the impact energy of the user exceed the preset threshold values, the user is combined with the change of the height to make falling judgment;
when the change of the height of the user exceeds a set range, judging that the user falls down;
when the change in height of the user is within a set range, it is determined that the user has not fallen.
Further, when the real-time measurement data exceeds the preset threshold, after the step of determining that the subject falls is triggered, the method further includes:
detecting the movement of the user by using a displacement sensor to determine the rest time of the user;
and judging the falling severity level according to the rest time.
Further, after the step of determining the severity level of the fall according to the resting time, the method further includes:
an alarm is triggered and/or help is requested for the user when a fall is determined to be severe.
Further, the step of detecting real-time measurement data by using at least one sensor and continuously comparing the real-time measurement data with a preset threshold value further includes:
the self free falling phenomenon of the three-axis acceleration detection equipment is utilized.
In order to solve the technical problem proposed above, an embodiment of the present invention further provides a fall detection device, which adopts the following technical solutions:
a fall detection device comprising:
the device body is worn on the wrist of a user;
the three-axis acceleration sensor is used for detecting the acceleration of the user to the ground when the user falls;
the collision sensor is used for detecting impact energy borne by a user when the user falls to the ground;
and the processor is used for continuously comparing the real-time measurement data with a preset threshold value and judging falling. By adopting the technical scheme.
Further, the fall detection apparatus further comprises an air pressure sensor and a displacement sensor,
the air pressure sensor is used for detecting atmospheric pressure so as to judge the change of a user in height;
the displacement sensor is used for detecting the movement of a user so as to determine the rest time of the user;
when the acceleration of a user and the impact energy of the user falling to the ground exceed preset threshold values, the processor judges whether the user falls or not by combining the change of the height of the user;
the processor determines a fall severity level based on the resting time.
Compared with the prior art, the embodiment of the invention mainly has the following beneficial effects:
a user continuously detects a use state when wearing a falling detection device to obtain real-time measurement data, then the real-time measurement data is continuously compared with a preset threshold value, and when the real-time measurement data exceeds the preset threshold value, falling judgment is triggered to judge that the user falls, so that the user can be accurately and timely fallen and detected; when the acceleration of a user and the impact energy borne by the user when the user falls to the ground exceed the preset threshold value, and fall judgment is triggered, judgment is carried out by referring to atmospheric pressure information, and if the fall incident does not have obvious change in height, misjudgment is considered, so that some misjudgment conditions can be eliminated, and the accuracy of fall detection is improved.
Drawings
In order to illustrate the solution of the invention more clearly, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are some embodiments of the invention, and that other drawings may be derived from these drawings by a person skilled in the art without inventive effort.
Fig. 1 is a flow chart of a fall detection method in an embodiment of the invention.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The terms "comprising" and "having," and any variations thereof, in the description and claims of the present invention and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and in the claims, or in the drawings, are used for distinguishing between different objects and not necessarily for describing a particular sequential order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The embodiment of the application provides a fall detection method, which comprises the following steps:
determining a preset threshold value of measurement data when the user falls according to the measurement data detected by falling detection equipment worn by the user;
detecting real-time measurement data by using at least one sensor, and continuously comparing the real-time measurement data with a preset threshold value;
and triggering falling judgment when the real-time measurement data exceeds a preset threshold value.
Through the fall check out test set of wearing on one's body in the user, according to the measured data that the user detected when tumbleing, the predetermined threshold value of measured data when setting for the user and tumbleing, the critical value promptly, when exceeding the critical value, judge that the user tumbles, the user is when wearing the fall check out test set, constantly detect the user state, obtain real-time measurement data, then do the comparison that lasts with predetermined threshold value with real-time measurement data, when real-time measurement data surpass predetermined threshold value, trigger and tumble and judge, judge that the user tumbles promptly, thereby can carry out the accuracy to the user, in time tumble and detect.
Based on the fall detection method, an embodiment of the present application further provides a fall detection device, including:
the device body is worn on the wrist of a user;
the three-axis acceleration sensor is used for detecting the acceleration of the user to the ground when the user falls;
the collision sensor is used for detecting impact energy borne by a user when the user falls to the ground;
and the processor is used for continuously comparing the real-time measurement data with a preset threshold value and judging falling.
Through the fall detection equipment of wearing on one's body in the user, according to the measured data that the user detected when tumbleing, the predetermined threshold value of measured data when setting for the user and tumbleing, the critical value promptly, when exceeding the critical value, judge that the user tumbles, the user is when wearing the fall detection equipment, triaxial acceleration sensor and collision sensor constantly detect the user state, obtain real-time measurement data, the treater is with real-time measurement's acceleration and impact energy data and the predetermined threshold value do continuous comparison, when real-time measurement data surpass the predetermined threshold value, trigger the fall and judge, judge that the user tumbles promptly, thereby can carry out the accuracy to the user, in time fall the detection.
In order to make the technical solutions of the present invention better understood by those skilled in the art, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the relevant drawings.
Examples
A fall detection method, as shown in fig. 1, comprising the steps of:
s1, determining a preset threshold value of the measurement data when the user falls according to the measurement data detected by the fall detection equipment worn by the user;
s2, detecting real-time measurement data by using at least one sensor, and continuously comparing the real-time measurement data with a preset threshold value;
and S3, triggering fall judgment when the real-time measurement data exceeds a preset threshold value.
Through the fall check out test set of wearing on one's body in the user, according to the measured data that the user detected when tumbleing, the predetermined threshold value of measured data when setting for the user and tumbleing, the critical value promptly, when exceeding the critical value, judge that the user tumbles, the user is when wearing the fall check out test set, constantly detect the user state, obtain real-time measurement data, then do the comparison that lasts with predetermined threshold value with real-time measurement data, when real-time measurement data surpass predetermined threshold value, trigger and tumble and judge, judge that the user tumbles promptly, thereby can carry out the accuracy to the user, in time tumble and detect.
The S2: the method comprises the steps of detecting real-time measurement data by using at least one sensor, and continuously comparing the real-time measurement data with a preset threshold value, and specifically comprises the following steps:
s21, detecting the acceleration of the user by using a three-axis acceleration sensor;
s22, detecting the impact energy of the user by using a collision sensor;
and S23, continuously comparing the acceleration data measured in real time with a preset acceleration threshold value and the impact energy data measured in real time with a preset impact energy threshold value.
The preset threshold values of the acceleration on the ground when the user falls and the impact energy applied to the user when the user falls to the ground are set, and when the user wears the falling detection equipment, the acceleration of the user and the impact energy applied to the user are continuously detected to obtain real-time measurement data.
And S3, when the real-time measurement data exceeds a preset threshold value, triggering a falling judgment step, which specifically comprises the following steps:
and S31, triggering falling judgment when the acceleration of the user and the impact energy of the user falling to the ground exceed the preset threshold values.
When the user falls down, the three-axis acceleration sensor can detect acceleration data exceeding a preset threshold value, and can detect violent collision impact signals when the user lands on the ground, and when the acceleration of the detected user and the impact energy received by the user exceed the preset threshold value, the user can be judged to fall down, so that some misjudgment conditions can be eliminated, and the accuracy of fall detection is improved.
And S2, detecting the real-time measurement data by using at least one sensor, and continuously comparing the real-time measurement data with a preset threshold value, wherein the method further comprises the following steps:
and S24, detecting the atmospheric pressure by using the air pressure sensor to judge the change of the height of the user.
When a user wears the falling detection equipment, the acceleration and the impact energy of the user are continuously detected to obtain real-time measurement data, the time and the height from the beginning to the landing of the user in the falling process can be calculated by combining the atmospheric pressure change data, and when the air pressure sensor is started for the first time or restarted, the filter which waits for 5 seconds is required to be converged.
In the embodiment of the invention, the air pressure data is detected once every second.
And S3, when the real-time measurement data exceeds a preset threshold value, triggering a falling judgment step, further comprising:
s31, when the acceleration of the user and the impact energy of the user exceed the preset threshold, the user is determined to fall down by combining the change of the height of the user;
s32, when the height of the user is changed beyond the set range, the user is judged to fall down;
and S33, when the change of the height of the user is within the set range, judging that the user does not fall.
When the acceleration of the user and the impact energy of the user falling to the ground exceed the preset threshold value and fall judgment is triggered, judgment is carried out by referring to atmospheric pressure information, and if the fall incident does not have obvious change in height, judgment is regarded as misjudgment. Therefore, some misjudgment conditions can be eliminated, and the falling detection accuracy is improved.
And S3, when the real-time measurement data exceeds the preset threshold value, after triggering the falling judgment step, the method further comprises the following steps:
s4, detecting the movement of the user by using the displacement sensor to determine the rest time of the user;
and S5, judging the falling severity level according to the rest time.
When a falling event occurs, the displacement of the user can be checked, whether the user moves after the falling event is detected, and whether the user falls down or is injured by falling can be judged. The method will eliminate impact resistance and calculate the stationary (not moving) time from when the user is stable after falling to determine the fall severity level of the user's fall.
And S5, after the step of judging the falling severity level according to the rest time, the method further comprises the following steps:
triggering an alarm and/or requesting assistance from the user when the fall is determined to be severe S6.
Whether the user moves after falling down, climbs again (including lifting and sitting) and whether the user falls dizzy can be judged through movement detection. By using scientific means, various sensors and complex and rigorous algorithms, whether the user really falls down and the degree of fall injury can be effectively judged, misjudgment is eliminated, and meanwhile, the misjudgment is transmitted to a terminal for alarming and a background for rescue.
And S2, detecting the real-time measurement data by using at least one sensor, and continuously comparing the real-time measurement data with a preset threshold value, wherein the method further comprises the following steps:
and S25, detecting the self free falling phenomenon of the equipment by utilizing the three-axis acceleration.
In the embodiment of the invention, the method also comprises the detection of the free falling phenomenon of the detection equipment, when the detection equipment is in the free falling state, the acceleration is close to zero, and when the detection equipment is in contact with the ground, the acceleration changes sharply. The method eliminates the condition that the detection equipment is thrown or falls in daily life, the two conditions can cause fall misjudgment, and the condition that the detection equipment falls and misjudgment is caused by free fall is effectively prevented.
According to the fall detection method provided by the application, all types of fall states and arm actions can be detected accurately, and tests show that the fall detection method can be used for detecting the fall in the process of side fall (falling to the left and right), backward fall and forward fall; falls can be accurately detected; when lying down, putting down an arm, shaking hands and detecting that the equipment falls, the device can accurately detect that the equipment does not fall.
The working process is as follows: the method comprises the steps that through falling detection equipment worn on a user body, according to measurement data detected when the user falls, a preset threshold value, namely a critical value, of the measurement data when the user falls is set, and when the threshold value is exceeded, the user falls is judged; when a user wears the falling detection equipment, the use state is continuously detected to obtain real-time measurement data, then the real-time measurement data is continuously compared with a preset threshold value, and when the real-time measurement data exceeds the preset threshold value, falling judgment is triggered, namely the user falls; when a user falls down, the three-axis acceleration sensor can detect acceleration data exceeding a preset threshold value, and can detect a violent collision impact signal when the user lands on the ground, and when the detected acceleration of the user and the impact energy borne by the user both exceed the preset threshold value, the user can be judged to have fallen down; when the acceleration of a user and the impact energy borne by the user when the user falls to the ground exceed preset threshold values and fall judgment is triggered, judgment is carried out by referring to atmospheric pressure information, and if the fall incident does not have obvious change in height, judgment is regarded as misjudgment; when a falling event occurs, the displacement of the user can be checked, whether the user moves after the falling event is detected, and whether the user falls down or is injured by falling can be judged. The method eliminates impact resistance, and calculates the static (non-moving) time from the stable time when the user falls down so as to judge the falling severity level of the user falling down, and simultaneously transmits the falling severity level to the terminal for alarming and implementing rescue in the background.
In order to solve the technical problem proposed above, an embodiment of the present invention further provides a fall detection device, which adopts the following technical solutions:
a fall detection device comprising:
the device body is worn on the wrist of a user;
the three-axis acceleration sensor is used for detecting the acceleration of the user to the ground when the user falls;
the collision sensor is used for detecting impact energy borne by a user when the user falls to the ground;
and the processor is used for continuously comparing the real-time measurement data with a preset threshold value and judging falling.
Through the fall detection equipment of wearing on one's body in the user, according to the measured data that the user detected when tumbleing, the predetermined threshold value of measured data when setting for the user and tumbleing, the critical value promptly, when exceeding the critical value, judge that the user tumbles, the user is when wearing the fall detection equipment, triaxial acceleration sensor and collision sensor constantly detect the user state, obtain real-time measurement data, the treater is with real-time measurement's acceleration and impact energy data and the predetermined threshold value do continuous comparison, when real-time measurement data surpass the predetermined threshold value, trigger the fall and judge, judge that the user tumbles promptly, thereby can carry out the accuracy to the user, in time fall the detection.
The processor triggers falling judgment when the acceleration of the user and the impact energy borne by the user when the user falls to the ground exceed preset threshold values.
When the user falls down, the three-axis acceleration sensor can detect acceleration data exceeding a preset threshold value, and can detect violent collision impact signals when the user lands on the ground, and when the acceleration of the detected user and the impact energy received by the user exceed the preset threshold value, the user can be judged to fall down, so that some misjudgment conditions can be eliminated, and the accuracy of fall detection is improved.
The fall detection apparatus further comprises an air pressure sensor and a displacement sensor,
the air pressure sensor is used for detecting atmospheric pressure so as to judge the change of a user in height;
the displacement sensor is used for detecting the movement of a user so as to determine the rest time of the user;
when the acceleration of a user and the impact energy of the user falling to the ground exceed preset threshold values, the processor judges whether the user falls or not by combining the change of the height of the user;
the processor determines a fall severity level based on the resting time.
When the acceleration of the user and the impact energy of the user falling to the ground exceed the preset threshold value and fall judgment is triggered, judgment is carried out by referring to atmospheric pressure information, and if the fall incident does not have obvious change in height, judgment is regarded as misjudgment. Therefore, some misjudgment conditions can be eliminated, and the falling detection accuracy is improved.
In embodiments of the invention in which the fall detection apparatus is designed to be worn on the user's wrist, the fall detection apparatus of the invention is not limited to being worn on the user's wrist, and the fall detection apparatus can instead be designed to be worn on the user's waist, chest or back, or around the neck as a pendant, in embodiments worn on the user's wrist, the fall detection apparatus may be in the form of a wrist strap, bracelet or watch.
In other embodiments, the fall detection device may also comprise sensors for measuring physiological aspects, for example a skin conductance sensor and/or a photoplethysmography sensor.
Fall detection devices comprise a transmitter that transmits an alarm signal when a fall is detected or when the user otherwise requests help (e.g. by means of a help button provided on the fall detection device). The transmitter can be configured to communicate with a base station associated with the fall detection device or to a remote station via a public telephone network. When the transmitter is configured to communicate with the base station, the transmitter may be configured according to any known wireless technology, e.g., Wi-F i, bluetooth, Near Field Communication (NFC), etc., the transmitter may alternatively communicate using a public telephone network.
When the real-time measurement data exceed a preset threshold value, the processor triggers falling judgment:
detecting the movement of the user by using a displacement sensor to determine the rest time of the user;
and judging the falling severity level according to the rest time.
When a falling event occurs, the displacement of the user can be checked, whether the user moves after the falling event is detected, and whether the user falls down or is injured by falling can be judged. The method will eliminate impact resistance and calculate the stationary (not moving) time from when the user is stable after falling to determine the fall severity level of the user's fall.
The processor triggers an alarm and/or requests help for the user when the fall is determined to be serious, and whether the user moves, re-climbs (including getting up and sitting up) and falls and dizzy after falling can be determined through movement detection. By using scientific means, various sensors and complex and rigorous algorithms, whether the user really falls down and the degree of fall injury can be effectively judged, misjudgment is eliminated, and meanwhile, the misjudgment is transmitted to a terminal for alarming and a background for rescue.
The method comprises the following steps of utilizing a three-axis acceleration to detect the self free falling phenomenon of the equipment, wherein the detection on the free falling phenomenon of the equipment is further included, when the equipment is in the free falling state, the acceleration is close to zero, and when the equipment is in contact with the ground, the acceleration changes rapidly. The method eliminates the condition that the detection equipment is thrown or falls in daily life, the two conditions can cause fall misjudgment, and the condition that the detection equipment falls and misjudgment is caused by free fall is effectively prevented.
It is to be understood that the above-described embodiments are merely illustrative of some, but not restrictive, of the broad invention, and that the appended drawings illustrate preferred embodiments of the invention without limiting its scope. This invention may be embodied in many different forms and, on the contrary, these embodiments are provided so that this disclosure will be thorough and complete. Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and modifications can be made, and equivalents may be substituted for elements thereof. All equivalent structures made by using the contents of the specification and the attached drawings of the invention can be directly or indirectly applied to other related technical fields, and are also within the protection scope of the patent of the invention.
Claims (10)
1. A fall detection method, characterized by comprising the steps of:
determining a preset threshold value of the measurement data when the user falls according to the measurement data detected by the detection equipment worn by the user;
detecting real-time measurement data by using at least one sensor, and continuously comparing the real-time measurement data with a preset threshold value;
and triggering falling judgment when the real-time measurement data exceeds a preset threshold value.
2. Fall detection method according to claim 1,
the step of detecting the real-time measurement data by using at least one sensor and continuously comparing the real-time measurement data with a preset threshold value specifically comprises the following steps:
detecting the acceleration of a user by using a three-axis acceleration sensor;
detecting impact energy borne by a user by using a collision sensor;
and continuously comparing the acceleration data measured in real time with an acceleration preset threshold value and the impact energy data measured in real time with an impact energy preset threshold value.
3. A fall detection method as claimed in claim 2,
when the real-time measurement data exceeds a preset threshold value, triggering a falling judgment step specifically comprises:
and triggering falling judgment when the acceleration of the user and the impact energy of the user exceed the preset threshold values.
4. A fall detection method as claimed in claim 3,
the step of detecting the real-time measurement data by using at least one sensor and continuously comparing the real-time measurement data with a preset threshold value further comprises:
the atmospheric pressure is detected by the air pressure sensor to judge the change of the user in height.
5. A fall detection method as claimed in claim 4,
when the real-time measurement data exceeds a preset threshold value, triggering a falling judgment step, further comprising:
when the acceleration of the user and the impact energy of the user exceed the preset threshold values, the user is combined with the change of the height to make falling judgment;
when the change of the height of the user exceeds a set range, judging that the user falls down;
when the change in height of the user is within a set range, it is determined that the user has not fallen.
6. Fall detection method according to claim 1,
when the real-time measurement data exceeds the preset threshold value, after the step of falling determination is triggered, the method further comprises the following steps:
detecting the movement of the user by using a displacement sensor to determine the rest time of the user;
and judging the falling severity level according to the rest time.
7. A fall detection method as claimed in claim 6,
after the step of determining the fall severity level according to the rest time, the method further comprises the following steps of:
an alarm is triggered and/or help is requested for the user when a fall is determined to be severe.
8. Fall detection method according to claim 1,
the step of detecting the real-time measurement data by using at least one sensor and continuously comparing the real-time measurement data with a preset threshold value further comprises:
the self free falling phenomenon of the three-axis acceleration detection equipment is utilized.
9. A fall detection device, comprising:
the device body is worn on the wrist of a user;
the three-axis acceleration sensor is used for detecting the acceleration of the user to the ground when the user falls;
the collision sensor is used for detecting impact energy borne by a user when the user falls to the ground;
and the processor is used for continuously comparing the real-time measurement data with a preset threshold value and judging falling.
10. Fall detection device according to claim 9,
the fall detection apparatus further comprises an air pressure sensor and a displacement sensor,
the air pressure sensor is used for detecting atmospheric pressure so as to judge the change of a user in height;
the displacement sensor is used for detecting the movement of a user so as to determine the rest time of the user;
when the acceleration of a user and the impact energy of the user falling to the ground exceed preset threshold values, the processor judges whether the user falls or not by combining the change of the height of the user;
the processor determines a fall severity level based on the resting time.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111833568A (en) * | 2020-07-08 | 2020-10-27 | 首都医科大学附属北京天坛医院 | Tumble grading warning device based on piezoelectric signal monitoring and working method thereof |
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| US11527140B2 (en) | 2017-09-29 | 2022-12-13 | Apple Inc. | Detecting falls using a mobile device |
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