CN106652340A - Method and system of detecting falling down of people - Google Patents
Method and system of detecting falling down of people Download PDFInfo
- Publication number
- CN106652340A CN106652340A CN201610942113.2A CN201610942113A CN106652340A CN 106652340 A CN106652340 A CN 106652340A CN 201610942113 A CN201610942113 A CN 201610942113A CN 106652340 A CN106652340 A CN 106652340A
- Authority
- CN
- China
- Prior art keywords
- preset value
- axis
- static
- vector
- judge
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- 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 invention belongs to the technical field of detecting falling down of people, and provides a method and system of detecting falling down of people. The method comprises the following steps: determining whether a vector sum of gravitational acceleration of an X axis, a Y axis and a Z axis is smaller than a first preset value, determining a weight loss condition if the vector sum is smaller than the first preset value, resetting counts if the counts of the number of weight loss reaches a weight loss determination preset value, determining whether the vector sum is greater than or equal to a second preset value, determining an overweight state if the vector sum is greater than or equal to the second preset value, resetting counts if the counts of the number of overweight reaches an overweight determination preset value, determining again whether the vector sum is greater than a third preset value and smaller than a fourth preset value, determining a waiting stationary state if the vector sum is greater than the third preset value and smaller than the fourth preset value until counts of the waiting stationary number reaches a waiting stationary determination preset value, determining whether the vector sum is greater than a fifth preset value and smaller than the fourth preset value, determining a stationary confirmation state if the vector sum is greater than the fifth preset value and smaller than the fourth preset value, determining whether the maintaining time of a stationary confirmation state reaches the stationary confirmation determination preset time, and determining falling down of people if the maintaining time of the stationary confirmation state reaches the stationary confirmation determination preset time.
Description
Technical field
The invention belongs to falling over of human body detection technique field, more particularly to a kind of detection method of falling over of human body be
System.
Background technology
In daily life, cause falling over of human body, mainly there are two kinds the reason for especially the elderly falls down：One is that action is favorite
Outer tumble is slipped；Two is falling down of causing of cardio-cerebrovascular diseases.For unexpected tumble injury, if do not treated in time,
Frequently can lead to the condition of the injury to increase.For when myocardial infarction, cerebral infarction break out to be fallen down, if can not obtain in several hours and
When effectively treat, then the cost that patient even can give one's life for, and the shape such as shock, stupor that such cardiovascular and cerebrovascular disease is caused
Condition can generally also allow patient to lose the ability of actively emergency.Therefore, for the detection of falling over of human body becomes further important.
At present, falling over of human body detection technique mainly has：Detection technique is fallen down and based on pressure based on video and sound
Fall down detection technique.Wherein, the detection technique of falling down based on video and sound is using camera and other sound collection works
Tool a certain region is monitored, then by human bioequivalence in image procossing and gesture recognition to detect monitoring image in human body
Fall events；Detection technique of falling down based on pressure is using the pressure sensor being layed on floor, by object to ground
Pressure change come determine clash into etc. event, fall down so as to detect.Both are fallen down detection technique and can only all detect a certain region
Inside whether there are fall events, but lasting monitoring cannot be carried out to specific object.
Therefore, existing falling over of human body detection technique is existed and can only detect in a certain region whether fall events occur,
And the problem that specific object cannot be persistently monitored.
The content of the invention
It is an object of the invention to provide the detection method and system of a kind of falling over of human body, it is intended to solve existing human body and fall
Detection technique exists and can only detect and whether occur in a certain region fall events, and specific object cannot be carried out to continue
The problem of monitoring.
The invention provides a kind of detection method of falling over of human body, the human body wears Wearable, the Wearable
Equipment feeds back the acceleration of gravity of X-axis corresponding with the human body, Y-axis and Z axis, the detection method based on three-dimensional system of coordinate
Comprise the following steps：
A. the vector of the acceleration of gravity of the X-axis, the Y-axis and the Z axis is calculated, and judges the vector
Whether the first preset value is less than, is, then execution step B, it is no, then count and reset and detection of end；
B. judge that current state is state of weightlessness, and weightless number of times is counted；
If C. the weightless number of times reaches weightless judgement preset value, count and reset；
D. judge that the vector, whether more than or equal to the second preset value, is, then execution step E, it is no, then count and reset
And detection of end；
E. judge that current state is overweight state, and overweight number of times is counted；
If F. the overweight number of times reaches overweight judgement preset value, count and reset；
G. judge that the vector, whether more than the 3rd preset value and less than the 4th preset value, is, then execution step H, it is no,
Then count and reset and detection of end；
H. current state is judged as inactive state is waited, and to waiting static number of times to count；
If I. described wait static number of times to reach the static judgement preset value of wait, count and reset；
J. judge that the vector, whether more than the 5th preset value and less than the 4th preset value, is, then execution step K, it is no,
Then count and reset and detection of end；
K. judge that current state is static acknowledgement state, and judge whether holding time for the static acknowledgement state reaches
It is static to confirm to judge Preset Time, it is then to confirm as falling over of human body, it is no, then count and reset and detection of end.
Present invention also offers a kind of detecting system of falling over of human body, the human body wears Wearable, the wearing
Formula equipment feeds back the acceleration of gravity of X-axis corresponding with the human body, Y-axis and Z axis, the detection system based on three-dimensional system of coordinate
System includes：
Vector computing module, for calculating the vector of the acceleration of gravity of the X-axis, the Y-axis and the Z axis
With, and judge that the vector, whether less than the first preset value, if so, then drives zero-g period monitoring modular to be monitored, if
It is no, then count and reset and detection of end；
Zero-g period monitoring modular, for judging that current state is state of weightlessness, and counts to weightless number of times；
First counts dump block, if reaching weightless judgement preset value for the weightless number of times, counts and resets；
Overweight judge module, for judging that the vector, whether more than or equal to the second preset value, if so, then drives super
Weight stage monitoring modular is monitored, if it is not, then count resetting and detection of end；
Overweight stage monitoring modular, for judging that current state is overweight state, and counts to overweight number of times；
Second counts dump block, if reaching overweight judgement preset value for the overweight number of times, counts and resets；
Static judge module is waited, for judging whether the vector is more than the 3rd preset value and default less than the 4th
Value, if so, then drives and waits quiescent phase monitoring modular to be monitored, if it is not, then count resetting and detection of end；
Quiescent phase monitoring modular is waited, for judging current state as inactive state is waited, and to waiting static number of times
Counted；
3rd counts dump block, if waiting static number of times to reach the static judgement preset value of wait for described, counts
Reset；
Static confirmation judge module, for judging whether the vector is more than the 5th preset value and default less than the 4th
Value, if so, then drives the static the stage of recognition monitoring modular to be monitored, if it is not, then count resetting and detection of end；
Static the stage of recognition monitoring modular, for judging current state as static acknowledgement state, and judges described static true
Recognize whether holding time for state reaches static confirmation judgement Preset Time, falling over of human body is if so, then confirmed as, if it is not, then counting
Number resets and detection of end.
In sum, the invention provides the detection method and system of a kind of falling over of human body, human body wears Wearable,
Wearable feeds back the acceleration of gravity of X-axis corresponding with the human body, Y-axis and Z axis, the detection based on three-dimensional system of coordinate
Method is comprised the following steps：A. the vector of the acceleration of gravity of X-axis, Y-axis and Z axis is calculated, and judges whether vector is little
In the first preset value, it is, then execution step B, it is no, then count and reset and detection of end；B. judge that current state is state of weightlessness,
And weightless number of times is counted；If C. weightless number of times reaches weightless judgement preset value, count and reset；D. judge that vector is
It is no to be more than or equal to the second preset value, be, then execution step E, it is no, then count and reset and detection of end；E. current state is judged
For overweight state, and overweight number of times is counted；If F. overweight number of times reaches overweight judgement preset value, count and reset；G.
Judge that vector, whether more than the 3rd preset value and less than the 4th preset value, is, then execution step H, it is no, then count and reset and tie
Beam is detected；H. current state is judged as inactive state is waited, and to waiting static number of times to count；If I. waiting static number of times
The static judgement preset value of wait is reached, is then counted and is reset；J. judge whether vector is more than the 5th preset value and pre- less than the 4th
If value, is, then execution step K, no, then counts and reset and detection of end；K. judge that current state is static acknowledgement state, and sentence
Whether holding time for static acknowledgement state of breaking reaches static confirmation judgement Preset Time, is then to confirm as falling over of human body, no,
Then count and reset and detection of end.Thus achieve the effect for being detected to fall events whenever and wherever possible, and the detection side
Method is simple, computation complexity is low and accuracy of detection is high, therefore solves existing falling over of human body detection technique and exist
Can only detect whether occur in a certain region fall events, and the problem that specific object cannot be persistently monitored.
Description of the drawings
Fig. 1 is the flowchart of the detection method of falling over of human body provided in an embodiment of the present invention.
Fig. 2 is the structural representation of the detecting system of falling over of human body provided in an embodiment of the present invention.
Specific embodiment
In order that the technical problem to be solved in the present invention, technical scheme and beneficial effect become more apparent, below in conjunction with
Drawings and Examples, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only used
To explain the present invention, it is not intended to limit the present invention.
The detection method and system of falling over of human body provided in an embodiment of the present invention, human body wears Wearable, Wearable
Equipment feeds back the acceleration of gravity of X-axis corresponding with the human body, Y-axis and Z axis based on three-dimensional system of coordinate, by using the inspection
Survey method, i.e., be by confirmation after weightless monitoring stage, overweight monitoring stage, wait quiescent phase and static the stage of recognition
It is no to have falling over of human body phenomenon, the effect for being detected to fall events whenever and wherever possible is realized, and the detection method is simply easy
Go, computation complexity is low and accuracy of detection is high.
In order to illustrate technical solutions according to the invention, illustrate below by specific embodiment.
Fig. 1 shows the flow process of realizing of the detection method of falling over of human body provided in an embodiment of the present invention, for convenience of description,
The part related to the embodiment of the present invention is illustrate only, details are as follows：
The detection method of the falling over of human body, human body wears Wearable, and Wearable is fed back based on three-dimensional system of coordinate
The acceleration of gravity of X-axis corresponding with the human body, Y-axis and Z axis, the detection method is comprised the following steps：
S101. the vector of the acceleration of gravity of X-axis, Y-axis and Z axis is calculated, and judges vector whether less than first
Preset value, be, then execution step S102, it is no, then count and reset and detection of end；
S102. judge that current state is state of weightlessness, and weightless number of times is counted；
If S103. weightless number of times reaches weightless judgement preset value, count and reset；
S104. judge that vector, whether more than or equal to the second preset value, is, then execution step S105, it is no, then count clear
Zero and detection of end；
S105. overweight number of times is counted,
If S106. overweight number of times reaches overweight judgement preset value, count and reset；
S107. judge that vector, whether more than the 3rd preset value and less than the 4th preset value, is, then execution step S108,
It is no, then count and reset and detection of end；
S108. current state is judged as inactive state is waited, to waiting static number of times to count；
If S109. described wait static number of times to reach the static judgement preset value of wait, count and reset；
S110. judge that vector, whether more than the 5th preset value and less than the 4th preset value, is, then execution step S111,
It is no, then count and reset and detection of end；
S111. judge that current state is static acknowledgement state, and judge whether holding time for static acknowledgement state reaches
It is static to confirm to judge Preset Time, it is then to confirm as falling over of human body, it is no, then count and reset and detection of end.
As one embodiment of the invention, step was also included before step S107：
S201. judge that the gate time of overweight number of times, whether more than the first Preset Time, is, then count and reset and terminate inspection
Survey, no, then execution step S107.
As one embodiment of the invention, step was also included before step S110：
S202. judge that the gate time for waiting static number of times, whether more than the second Preset Time, is, then count and reset and tie
Beam is detected, no, then execution step S110.
As one embodiment of the invention, the vector tool of the acceleration of gravity of X-axis, Y-axis and Z axis is calculated in step S101
Body is：
The vector of the acceleration of gravity of X-axis, Y-axis and Z axis is calculated according to following formula：
Wherein, A is the vector of the acceleration of gravity of the X-axis, the Y-axis and the Z axis, AxFor the gravity of X-axis
Acceleration, AyFor the acceleration of gravity of Y-axis, AzFor the acceleration of gravity of Z axis.Used as one embodiment of the invention, the first preset value is
0.7G (i.e. m/s2, rice is per the quadratic power second), it is that cause to prevent non-fiercely falling down can not to take 0.7G as the first preset value
Identification, is, when vector is less than 0.7G, to be judged to state of weightlessness；Second preset value is 1.5G, takes 1.5G pre- as second
It is, when vector is more than or equal to 1.5G, to be judged to if value causes to recognize also for non-fiercely falling down is prevented
Overweight state；3rd preset value is 0.8G, and the 4th preset value is 1.2G, and the 5th preset value is 0.85G.In step s 107, when
Vector is judged to wait inactive state between 0.8G and 1.2G, and the span of the data is to waiting quiescent phase
Monitoring have certain tolerance.Equally, in step s 110, when vector is between 0.85G and 1.2G, it is judged to static true
Recognize state, the span of the data is that the monitoring to static the stage of recognition has certain tolerance, and is further confirmed whether have
The situation of falling over of human body.
As one embodiment of the invention, the first Preset Time is set to 2 seconds, and the second Preset Time is set to into 3
Second, such effect is that, whipping, the situation of the erroneous judgement such as run is eliminated, because in step S107 and step S110, to surpassing
Weight stage monitoring and waiting contain in quiescent phase monitoring fall down, whipping and situations such as run, therefore arrange first and preset
In order to the situation of the erroneous judgement such as whipping, run is eliminated when time and the second Preset Time, falling over of human body is more accurately detected.
Used as one embodiment of the invention, weightlessness judges that preset value is 8, when weightless number of times is not up to 8 times, the knot for monitoring
Fruit includes the weightless situation of non-falling down property, therefore need to be excluded；It is overweight to judge that preset value is 2, it is not up to 2 times in overweight number of times
When, the result for monitoring includes the overweight situation of non-falling down property, therefore need to be excluded；Wait is static to judge that preset value is 16,
Played a part of to prevent erroneous judgement from entering static acknowledgement state；Static confirmation judged Preset Time as 1.6 seconds, judged static
Whether acknowledgement state reaches static confirmation judges Preset Time, and confirms to judge that Preset Time is set to 1.6 seconds by static, with
Static confirmation is improved, erroneous judgement is prevented.
As one embodiment of the invention, in step s 103, if weightless number of times is not up to weightless judgement preset value, return
Return execution step S101 or detection of end.In step s 106, if overweight number of times is not up to overweight judgement preset value, return
Return execution step S101 or detection of end.In step S109, if waiting static number of times not up to wait static judgement default
During value, then execution step S101 or detection of end are returned.
Used as one embodiment of the invention, falling over of human body includes that the elderly is suddenly dizzy and falls down or human body has in suction
Subsequently fall down into comatose state after poisonous gas, in step S101, the acceleration produced when being fallen by human body is being sentenced
It is disconnected.Then, after state of weightlessness, the monitoring of overweight state, the monitoring for waiting inactive state is increased, the stage determines whether
There is the change on direction, it is possible to after people falls down, it may occur that the change of certain directionality, people is likely to can be because toxicity gas
Body and struggle.Finally by the monitoring of static acknowledgement state, that is, judge whether to have gone into a coma, static acknowledgement state then needs
Within the regular hour, someone's fall events are assert in the change of acceleration in certain scope, then, then can be in Wearable
Equipment is arranged reports to the police.Warning can be continued until that a button is pressed and just can stop, i.e. someone is succouring, or people is clear
Wake up.
The operation principle of the detection method of above-mentioned falling over of human body is illustrated below in conjunction with Fig. 1：
Wearable is worn on into human body, Wearable provides the gravity of X-axis, Y-axis and Z axis and adds
Speed, first, by formulaThe gravity for calculating X-axis, Y-axis and Z axis accelerates
The vector of degree, then judges that vector, whether less than the first preset value, is then to be judged to state of weightlessness, and starts to weightlessness
Number of times is counted, if weightless number of times reaches weightless judgement preset value, is counted and is reset, and secondly judges whether vector is more than
Or equal to the second preset value, be then to be judged to overweight state, and start to count overweight number of times, if overweight number of times reaches
During overweight judgement preset value, then count and reset, vector is judged again whether more than the 3rd preset value and less than the 4th preset value,
It is then to be judged to wait inactive state, and makes counting start to add up successively from 0, waits static judgement default until counting to reach
Value, finally, judges that vector, whether more than the 5th preset value and less than the 4th preset value, is then to be judged to static acknowledgement state,
And judge whether holding time for static acknowledgement state reaches static confirmation judgement Preset Time, be then to confirm as human body and fall
.By read X-axis, the gravity sensing acceleration of Y-axis and Z axis and calculate its acceleration of gravity and, and according to upper one
Secondary state is judging which stage now belonged to：Zero-g period, overweight stage, wait quiescent phase, static the stage of recognition, then
Falling over of human body can be confirmed as through four-stage in the judgement time, the detection method is simple, computation complexity is low and
Accuracy of detection is high.
Fig. 2 shows the structure of the detecting system of falling over of human body provided in an embodiment of the present invention, for convenience of description, only shows
The part related to the embodiment of the present invention is gone out, details are as follows：
The detecting system of the falling over of human body, human body wears Wearable, and Wearable is fed back based on three-dimensional system of coordinate
The acceleration of gravity of X-axis corresponding with the human body, Y-axis and Z axis, the detecting system includes：
Vector computing module 1011, for calculating the vector of the acceleration of gravity of X-axis, Y-axis and Z axis, and judges
Whether vector is less than the first preset value, if so, then drives zero-g period monitoring modular 1012 to be monitored, if it is not, then counting
Reset and detection of end；
Zero-g period monitoring modular 1012, for judging that current state is state of weightlessness, and counts to weightless number of times；
First counts dump block 1013, if reaching weightless judgement preset value for weightless number of times, counts and resets；
Overweight judge module 1014, for judging that vector, whether more than or equal to the second preset value, if so, then drives super
Weight stage monitoring modular 1015 is monitored, if it is not, then count resetting and detection of end；
Overweight stage monitoring modular 1015, for judging that current state is overweight state, and counts to overweight number of times；
Second counts dump block 1016, if reaching overweight judgement preset value for overweight number of times, counts and resets；
Static judge module 1017 is waited, for judging whether vector is more than the 3rd preset value and default less than the 4th
Value, if so, then drives and waits quiescent phase monitoring modular 1018 to be monitored, if it is not, then count resetting and detection of end；
Quiescent phase monitoring modular 1018 is waited, it is for judging current state as inactive state is waited and static to waiting
Number of times is counted；
3rd counts dump block 1019, if for waiting static number of times to reach the static judgement preset value of wait, counting
Reset；
Static confirmation judge module 1020, for judging whether vector is more than the 5th preset value and default less than the 4th
Value, if so, then drives static the stage of recognition monitoring modular 1021 to be monitored, if it is not, then count resetting and detection of end；
Static the stage of recognition monitoring modular 1021, for judging current state as static acknowledgement state, and judges static true
Recognize whether holding time for state reaches static confirmation judgement Preset Time, falling over of human body is if so, then confirmed as, if it is not, then counting
Number resets and detection of end.
Wherein, the vector of the acceleration of gravity of the calculating of vector computing module 10 X-axis, Y-axis and Z axis is specially：
The vector of the acceleration of gravity of X-axis, Y-axis and Z axis is calculated according to following formula：
Wherein, A is the vector of the acceleration of gravity of the X-axis, the Y-axis and the Z axis, AxFor the gravity of X-axis
Acceleration, AyFor the acceleration of gravity of Y-axis, AzFor the acceleration of gravity of Z axis.
Specifically, above-mentioned first preset value is 0.7G (i.e. m/s2, rice is per the quadratic power second), 0.7G is taken as the first preset value
It is to cause to recognize to prevent non-fiercely falling down, is, when vector is less than 0.7G, to be judged to state of weightlessness；It is above-mentioned
Second preset value is 1.5G, and take 1.5G causes to recognize as the second preset value also for non-fiercely falling down is prevented, i.e.,
It is, when vector is more than or equal to 1.5G, to be judged to overweight state；Above-mentioned 3rd preset value be 0.8G, above-mentioned 4th preset value
For 1.2G, the 5th preset value is 0.85G.When vector is between 0.8G and 1.2G, static judge module 1017 is waited to judge
To wait inactive state, the span of the data is that the monitoring to wait quiescent phase has certain tolerance.Equally, vector is worked as
And between 0.85G and 1.2G, static confirmation judge module 1020 is judged to static acknowledgement state, the span of the data
It is that the monitoring to static the stage of recognition has certain tolerance, and is further confirmed whether the situation for having falling over of human body.
Used as one embodiment of the invention, the detecting system also includes：
First gate time judge module 2011, when whether the gate time for judging overweight number of times is default more than first
Between, if so, then count and reset and detection of end, if it is not, then drive waiting static judge module 1017 to be judged.
Used as one embodiment of the invention, the detecting system also includes：
Second gate time judge module 2012, for judging to wait the gate time of static number of times whether pre- more than second
If the time, if so, then count and reset and detection of end, if it is not, then driving static confirmation judge module 1020 to be judged.
As one embodiment of the invention, the first Preset Time is set to 2 seconds, and the second Preset Time is set to into 3
Second, such effect is that, whipping, the situation of the erroneous judgement such as run is eliminated, because in the static judge module 1017 of wait and static
In confirming the course of work of judge module 1020, the overweight stage is monitored and is waited to contain in quiescent phase monitoring and fall down, get rid of
It is dynamic and situations such as run, therefore for the erroneous judgement such as whipping, run when arranging the first Preset Time and the second Preset Time
Situation is eliminated, and more accurately detects falling over of human body.
Used as one embodiment of the invention, weightlessness judges that preset value is 8, when weightless number of times is not up to 8 times, the knot for monitoring
Fruit includes the weightless situation of non-falling down property, therefore need to be excluded；It is overweight to judge that preset value is 2, it is not up to 2 times in overweight number of times
When, the result for monitoring includes the overweight situation of non-falling down property, therefore need to be excluded；Wait is static to judge that preset value is 16,
Played a part of to prevent erroneous judgement from entering static acknowledgement state；Static confirmation judged Preset Time as 1.6 seconds, judged static
Whether acknowledgement state reaches static confirmation judges Preset Time, and confirms to judge that Preset Time is set to 1.6 seconds by static, with
Static confirmation is improved, erroneous judgement is prevented.
As one embodiment of the invention, count in dump block 1013 first, if weightless number of times is not up to weightless judgement
During preset value, then return driving vector and computing module 1011 is recalculated or detection of end.Dump block is counted second
In 1016, if overweight number of times is not up to overweight judgement preset value, returns driving vector and computing module 1011 is recalculated
Or detection of end.Count in dump block 1019 the 3rd, if waiting static number of times not up to wait static judgement preset value
When, then return driving vector and computing module 1011 is recalculated or detection of end.
Used as one embodiment of the invention, falling over of human body includes that the elderly is suddenly dizzy and falls down or human body has in suction
Subsequently fall down into comatose state after poisonous gas, in the course of work of vector computing module 1011, when being fallen by human body
The acceleration of generation is being judged.Then, after state of weightlessness, the monitoring of overweight state, increased and wait inactive state
Monitoring, the stage determines whether the change on direction, it is possible to after people falls down, it may occur that the change of certain directionality
Change, people is likely to struggle because of poisonous gas.Finally by the monitoring of static acknowledgement state, that is, judge whether
Stupor, static acknowledgement state was then needed within the regular hour, and the change of acceleration assert that someone falls in certain scope, then
Event, then can arrange in Wearable and report to the police.Warning can be continued until that a button is pressed just can be stopped, that is, have
People is succouring, or people has waken up.
Used as one embodiment of the invention, Wearable can be acceleration transducer, or built-in gravity sensing
The device of chip, detectable acceleration of gravity of the human body when falling down on different directions of the Wearable, for example：For human body
Need for Wearable to be fixed on human body when falling down detection, for example, be worn on front, whole Wearable perpendicular to ground,
So when human body is fallen, will produce acceleration and whole Wearable can occur the change of certain horizontal plane.
Then accelerated based on the gravity that three-dimensional system of coordinate feeds back X-axis corresponding with the human body, Y-axis and Z axis by Wearable
Degree change judges whether human body is fallen down, such as can determine whether out it is have downward acceleration of gravity, human body by X-axis when human body is stood
Downward acceleration of gravity be can determine whether out by Y-axis when droping to the ground, acceleration of gravity on this different direction changes can be with
Judge falling over of human body.
In sum, the detection method and system of a kind of falling over of human body are embodiments provided, human body wears wearing
Formula equipment, Wearable is accelerated based on the gravity that three-dimensional system of coordinate feeds back X-axis corresponding with the human body, Y-axis and Z axis
Degree, the detection method is comprised the following steps：A. the vector of the acceleration of gravity of X-axis, Y-axis and Z axis is calculated, and judges vector
Whether the first preset value is less than, is, then execution step B, it is no, then count and reset and detection of end；B. judge current state as
State of weightlessness, and weightless number of times is counted；If C. weightless number of times reaches weightless judgement preset value, count and reset；D. sentence
Whether disconnected vector is more than or equal to the second preset value, is, then execution step E, no, then count and reset and detection of end；E. sentence
It is overweight state to determine current state, and overweight number of times is counted；If F. overweight number of times reaches overweight judgement preset value, count
Number resets；G. judge that vector, whether more than the 3rd preset value and less than the 4th preset value, is, then execution step H, it is no, then count
Number resets and detection of end；H. current state is judged as inactive state is waited, and to waiting static number of times to count；If I. waiting
Treat that static number of times reaches the static judgement preset value of wait, then count and reset；J. judge vector whether more than the 5th preset value and
Less than the 4th preset value, it is, then execution step K, it is no, then count and reset and detection of end；K. current state is judged as static true
Recognize state, and judge whether holding time for static acknowledgement state reaches static confirmation judgement Preset Time, be then to confirm to be people
Body is fallen down, no, then count and reset and detection of end.The effect for being detected to fall events whenever and wherever possible is thus achieved, and
And the detection method is simple, computation complexity is low and accuracy of detection is high, therefore solve existing falling over of human body detection
Technology exists and can only detect and whether occur in a certain region fall events, and specific object cannot persistently be monitored
Problem.
One of ordinary skill in the art will appreciate that：The step of realizing said method embodiment or part steps can pass through
Completing, aforesaid program can be stored in computer read/write memory medium the related hardware of programmed instruction, and the program exists
During execution, the step of including said method embodiment is performed, and aforesaid storage medium includes：ROM, RAM, magnetic disc or CD
Etc. it is various can be with the medium of store program codes.
Embodiment described above only to illustrate technical scheme, rather than a limitation；Although with reference to aforementioned reality
Apply example to be described in detail the present invention, it will be understood by those within the art that：It still can be to aforementioned each
Technical scheme described in embodiment is modified, or carries out equivalent to which part technical characteristic；And these are changed
Or replace, do not make the spirit and model of each embodiment technical scheme of the essence disengaging embodiment of the present invention of appropriate technical solution
Enclose.
Presently preferred embodiments of the present invention is the foregoing is only, not to limit the present invention, all essences in the present invention
Any modification, equivalent and improvement made within god and principle etc., should be included within the scope of the present invention.
Claims (10)
1. a kind of detection method of falling over of human body, the human body wears Wearable, and the Wearable is based on three-dimensional seat
The acceleration of gravity of mark system feedback X-axis corresponding with the human body, Y-axis and Z axis, it is characterised in that the detection method bag
Include following steps：
A. the vector of the acceleration of gravity of the X-axis, the Y-axis and the Z axis is calculated, and whether judges the vector
Less than the first preset value, it is, then execution step B, it is no, then count and reset and detection of end；
B. judge that current state is state of weightlessness, and weightless number of times is counted；
If C. the weightless number of times reaches weightless judgement preset value, count and reset；
D. judge that the vector, whether more than or equal to the second preset value, is, then execution step E, it is no, then count and reset and tie
Beam is detected；
E. judge that current state is overweight state, and overweight number of times is counted；
If F. the overweight number of times reaches overweight judgement preset value, count and reset；
G. judge that the vector, whether more than the 3rd preset value and less than the 4th preset value, is, then execution step H, it is no, then count
Number resets and detection of end；
H. current state is judged as inactive state is waited, and to waiting static number of times to count；
If I. described wait static number of times to reach the static judgement preset value of wait, count and reset；
J. judge that the vector, whether more than the 5th preset value and less than the 4th preset value, is, then execution step K, it is no, then count
Number resets and detection of end；
K. judge that current state is static acknowledgement state, and judge the static acknowledgement state hold time whether reach it is static
Confirm to judge Preset Time, be then to confirm as falling over of human body, it is no, then count and reset and detection of end.
2. detection method as claimed in claim 1, it is characterised in that the calculating X-axis, the Y-axis and the Z axis
The vector of acceleration of gravity be specially：
The vector of the acceleration of gravity of the X-axis, the Y-axis and the Z axis is calculated according to following formula：
Wherein, A is the vector of the acceleration of gravity of the X-axis, the Y-axis and the Z axis, AxGravity for the X-axis adds
Speed, AyFor the acceleration of gravity of the Y-axis, AzFor the acceleration of gravity of the Z axis.
3. detection method as claimed in claim 1, it is characterised in that also include before step G：
M. judge that the gate time of the overweight number of times, whether more than the first Preset Time, is, then count and reset and detection of end,
It is no, then execution step G.
4. detection method as claimed in claim 1, it is characterised in that also include before step J：
N. judge that the gate time for waiting static number of times whether more than the second Preset Time, is then to count and reset and terminate
Detection, then no, execution step J.
5. detection method as claimed in claim 1, it is characterised in that first preset value be 0.7 meter per the quadratic power second, institute
The second preset value is stated for 1.5 meters per the quadratic power second, the 3rd preset value is 0.8 meter of every quadratic power second, the 4th preset value
For 1.2 meters per the quadratic power seconds, the 5th preset value be 0.85 meter per the quadratic power second, the weightlessness judges that preset value is 8, described
Overweight to judge that preset value is 2, the wait is static to judge that preset value is 16, and the static confirmation judged Preset Time as 1.6 seconds.
6. a kind of detecting system of falling over of human body, the human body wears Wearable, and the Wearable is based on three-dimensional seat
The acceleration of gravity of mark system feedback X-axis corresponding with the human body, Y-axis and Z axis, it is characterised in that the detecting system bag
Include：
Vector computing module, for calculating the vector of the acceleration of gravity of the X-axis, the Y-axis and the Z axis, and
Judge that the vector, whether less than the first preset value, if so, then drives zero-g period monitoring modular to be monitored, if it is not, then
Count and reset and detection of end；
Zero-g period monitoring modular, for judging that current state is state of weightlessness, and counts to weightless number of times；
First counts dump block, if reaching weightless judgement preset value for the weightless number of times, counts and resets；
Overweight judge module, for judging that the vector, whether more than or equal to the second preset value, if so, then drives overweight rank
Section monitoring modular is monitored, if it is not, then count resetting and detection of end；
Overweight stage monitoring modular, for judging that current state is overweight state, and counts to overweight number of times；
Second counts dump block, if reaching overweight judgement preset value for the overweight number of times, counts and resets；
Static judge module is waited, for whether judging the vector more than the 3rd preset value and less than the 4th preset value, if
It is then to drive and wait quiescent phase monitoring modular to be monitored, if it is not, then count resetting and detection of end；
Quiescent phase monitoring modular is waited, for judging current state as inactive state is waited, and to waiting static number of times to carry out
Count；
3rd counts dump block, if waiting static number of times to reach the static judgement preset value of wait for described, counts and resets；
Static confirmation judge module, for whether judging the vector more than the 5th preset value and less than the 4th preset value, if
It is then to drive the static the stage of recognition monitoring modular to be monitored, if it is not, then count resetting and detection of end；
Static the stage of recognition monitoring modular, for judging current state as static acknowledgement state, and judges the static confirmation shape
Whether holding time for state reaches static confirmation judgement Preset Time, if so, then confirms as falling over of human body, if it is not, then counting clear
Zero and detection of end.
7. detecting system as claimed in claim 6, it is characterised in that the vector computing module calculates the X-axis, described
The vector of the acceleration of gravity of Y-axis and the Z axis is specially：
The vector of the acceleration of gravity of the X-axis, the Y-axis and the Z axis is calculated according to following formula：
Wherein, A is the vector of the acceleration of gravity of the X-axis, the Y-axis and the Z axis, AxGravity for the X-axis adds
Speed, AyFor the acceleration of gravity of the Y-axis, AzFor the acceleration of gravity of the Z axis.
8. detecting system as claimed in claim 6, it is characterised in that the detecting system also includes：
First gate time judge module, for whether judging the gate time of the overweight number of times more than the first Preset Time,
If so, then count and reset and detection of end, if it is not, then drive waiting static judge module to be judged.
9. detecting system as claimed in claim 6, it is characterised in that the detecting system also includes：
Second gate time judge module, when whether the gate time for judging the static number of times of the wait is default more than second
Between, if so, then count and reset and detection of end, if it is not, then driving static confirmation judge module to be judged.
10. detecting system as claimed in claim 6, it is characterised in that first preset value be 0.7 meter per the quadratic power second,
Second preset value is 1.5 meters of every quadratic power seconds, and the 3rd preset value is 0.8 meter of every quadratic power second, and the described 4th presets
It is worth for 1.2 meters per the quadratic power second, the 5th preset value is 0.85 meter of every quadratic power second, the weightlessness judges that preset value is 8, institute
State it is overweight judge that preset value is 2, it is described wait it is static judges that preset value is 16, it is described static to confirm to judge that Preset Time is 1.6
Second.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610942113.2A CN106652340B (en) | 2016-11-01 | 2016-11-01 | The detection method and system of falling over of human body |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610942113.2A CN106652340B (en) | 2016-11-01 | 2016-11-01 | The detection method and system of falling over of human body |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106652340A true CN106652340A (en) | 2017-05-10 |
| CN106652340B CN106652340B (en) | 2019-03-08 |
Family
ID=58821141
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610942113.2A Active CN106652340B (en) | 2016-11-01 | 2016-11-01 | The detection method and system of falling over of human body |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106652340B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107633655A (en) * | 2017-09-26 | 2018-01-26 | 深圳市金立通信设备有限公司 | A kind of fall detection method, terminal and computer-readable recording medium |
| CN108514420A (en) * | 2018-01-19 | 2018-09-11 | 四川明上科技有限公司 | A kind of monitoring method and its system of personnel's loss of consciousness monitoring identifier |
| CN108720840A (en) * | 2018-02-13 | 2018-11-02 | 安徽奇智科技有限公司 | A kind of method and system detecting health data based on Worn type equipment |
| CN111241913A (en) * | 2019-12-19 | 2020-06-05 | 北京文安智能技术股份有限公司 | Method, device and system for detecting falling of personnel |
| CN114333237A (en) * | 2021-12-28 | 2022-04-12 | 昆明学院 | Wrist wearing equipment and method for identifying falling scene and actively sending emergency call for help |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4831527A (en) * | 1986-08-11 | 1989-05-16 | Clark Lloyd D | Dynamic measuring system for determining the amount of excess body fat |
| CN103021131A (en) * | 2012-12-28 | 2013-04-03 | 中科院微电子研究所昆山分所 | Tumble detecting system and tumble detecting method |
| CN103393412B (en) * | 2013-08-15 | 2015-07-29 | 重庆邮电大学 | A kind of care device for old man based on Smart Home |
| CN105654666A (en) * | 2016-02-25 | 2016-06-08 | 福州大学 | Old people falling monitoring method based on MEMS sensor |
-
2016
- 2016-11-01 CN CN201610942113.2A patent/CN106652340B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4831527A (en) * | 1986-08-11 | 1989-05-16 | Clark Lloyd D | Dynamic measuring system for determining the amount of excess body fat |
| CN103021131A (en) * | 2012-12-28 | 2013-04-03 | 中科院微电子研究所昆山分所 | Tumble detecting system and tumble detecting method |
| CN103393412B (en) * | 2013-08-15 | 2015-07-29 | 重庆邮电大学 | A kind of care device for old man based on Smart Home |
| CN105654666A (en) * | 2016-02-25 | 2016-06-08 | 福州大学 | Old people falling monitoring method based on MEMS sensor |
Non-Patent Citations (1)
| Title |
|---|
| 肖丽等: "智能家居中老人跌倒远程监护系统的设计", 《电视技术》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107633655A (en) * | 2017-09-26 | 2018-01-26 | 深圳市金立通信设备有限公司 | A kind of fall detection method, terminal and computer-readable recording medium |
| CN108514420A (en) * | 2018-01-19 | 2018-09-11 | 四川明上科技有限公司 | A kind of monitoring method and its system of personnel's loss of consciousness monitoring identifier |
| CN108720840A (en) * | 2018-02-13 | 2018-11-02 | 安徽奇智科技有限公司 | A kind of method and system detecting health data based on Worn type equipment |
| CN111241913A (en) * | 2019-12-19 | 2020-06-05 | 北京文安智能技术股份有限公司 | Method, device and system for detecting falling of personnel |
| CN114333237A (en) * | 2021-12-28 | 2022-04-12 | 昆明学院 | Wrist wearing equipment and method for identifying falling scene and actively sending emergency call for help |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106652340B (en) | 2019-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106652340A (en) | Method and system of detecting falling down of people | |
| CN1178064C (en) | Impulse force estimating device, method and medium storing impulse force estimation program | |
| CN103997956B (en) | Monitoring system and its assemble method that vehicle is used | |
| JP5184761B2 (en) | Method and system for detecting a human fall | |
| US10561344B2 (en) | Fall detection device and method | |
| JP5617299B2 (en) | Activity meter, control program, and activity type identification method | |
| WO2017052126A1 (en) | Fall detection device and method for controlling same | |
| Otanasap | Pre-impact fall detection based on wearable device using dynamic threshold model | |
| TW200821551A (en) | Body motion detector, body motion detecting method, and body motion detecting program | |
| CN107633655A (en) | A kind of fall detection method, terminal and computer-readable recording medium | |
| CN102027517A (en) | Displacement measurement in a fall detection system | |
| JP2007151948A (en) | Method and device for determining falling down | |
| JP2010017525A (en) | Action determining apparatus and action determining method | |
| Sengto et al. | Human falling detection algorithm using back propagation neural network | |
| Zhong et al. | A real-time pre-impact fall detection and protection system | |
| CN108198383B (en) | Multi-sensor combined high-precision behavior recognition method, device and system | |
| CN107067651A (en) | Detect method, device and the shoes of falling over of human body | |
| Liu et al. | Automatic fall risk detection based on imbalanced data | |
| JP5014023B2 (en) | Pedometer | |
| CN105872962A (en) | Old people's tumble tracking system for old people | |
| US9161711B2 (en) | System and method for detecting an epileptic seizure in a prone epileptic person | |
| CN202306768U (en) | Behavior differentiation and analysis circuit | |
| JP2009223775A (en) | Active mass meter | |
| Ren et al. | ALARM: A novel fall detection algorithm based on personalized threshold | |
| CN107569234A (en) | A kind of fall detection algorithm based on Wrist belt-type equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |