WO2018108096A1

WO2018108096A1 - Smart helmet having physiological detection function, and physiological detection method

Info

Publication number: WO2018108096A1
Application number: PCT/CN2017/115863
Authority: WO
Inventors: 叶永正; 郑波; 李志明; 易湘棱
Original assignee: 深圳前海零距物联网科技有限公司
Priority date: 2016-11-29
Filing date: 2017-12-13
Publication date: 2018-06-21
Also published as: CN106419852A

Abstract

A smart helmet (100) having a physiological detection function, and a physiological detection method. The smart helmet (100) comprises: a main helmet (10), a detection module (20), a data processing and communication module (30), and a power supply (40). The detection module (20) is located at an inner side of the main helmet (10), and used to detect and acquire a physiological parameter of a user. The data processing and communication module (30) is connected to the detection module (20), and located at the main helmet (10). The smart helmet (100) having a physiological detection function and the detection method can be utilized to detect a physiological parameter of a user. A helmet is sport equipment necessary for many sports, and as a result, a detection can be implemented without adding additional weights to user sport equipment. Furthermore, data can be stored in the smart helmet (100) to facilitate data checking after the user finishes sporting.

Description

Intelligent helmet with physiological detection function and physiological detection method

Technical field

The invention relates to a helmet, in particular to a smart helmet with physiological detection function and a physiological detection method thereof.

Background technique

The various helmets existing in the prior art mainly play the role of protecting the head. When the user wears the helmet to exercise, he or she wants to know his current physical condition only by feeling or relying on some sensors, but often feels like Your own physical condition is misjudged, and carrying the sensor on your body increases the burden on the equipment and adversely moves.

technical problem

The object of the present invention is to solve the problem that the current helmet cannot detect the physiological parameters of the user.

Technical solution

The object of the present invention is achieved by the following technical solutions.

A smart helmet having a physiological detecting function comprises: a helmet body; a detecting module located inside the helmet body for detecting a physiological parameter of the user; and a data processing communication module connected to the detecting module, located in the helmet a main body, comprising: a central control unit, configured to receive and process the physiological parameter and generate a processing result; a wireless communication unit connected to the central control unit, configured to establish a connection with the mobile terminal, and send the processing result to the mobile And a storage unit, connected to the central control unit, configured to store the processing result when the wireless communication unit does not establish a connection with the mobile terminal; and a power source, the detection module, and the data processing communication module Connected to supply power.

In an embodiment, the central control unit is configured to compare the physiological parameter with a preset physiological parameter threshold or a historical physiological parameter stored by the storage unit and filter the abnormal data to generate the processing result. .

In one embodiment, the detection module includes a proximity sensor and a physiological sensor, and the proximity sensor is connected to the physiological sensor, and the proximity sensor is configured to sense that the helmet body is in proximity to the human body to generate a control signal, The physiological sensor is configured to receive the control signal and sense a physiological parameter of the user.

In one embodiment, the helmet body further includes a switch button connected to the power source for activating or deactivating the detection module and the data processing communication module.

In an embodiment, the central control unit is further configured to compare the processing result with a preset physiological parameter threshold and generate a first result indicating that the threshold value is exceeded or a second result indicating that the threshold value is not exceeded, and responding The first result generates an alarm signal.

In one embodiment, the helmet body includes a speaker coupled to the central control unit for playing an alarm tone in response to the alarm signal.

In one embodiment, the helmet body includes a vibration module coupled to the central control unit for emitting vibration in response to the alarm signal.

In one embodiment, the wireless communication unit establishes a connection with the mobile terminal via a Bluetooth communication protocol.

A physiological detection method implemented by a smart helmet having a physiological detection function, the method comprising: detecting a module to detect and acquire a physiological parameter of a user; the central control unit processing the physiological parameter and generating a processing result; the central control unit detecting Whether the wireless communication module establishes a connection with the mobile terminal to generate a first detection result indicating that the connection is not connected or a second detection result indicating the connection; the storage unit stores the processing result in response to the first detection result; or the wireless communication module Transmitting the processing result to the mobile terminal in response to the second detection result.

In an embodiment, the processing, by the central control unit, processing the physiological parameter and generating the processing result includes: performing the physiological parameter with a preset physiological parameter threshold or with a historical physiological parameter stored by the storage unit The exception data is compared and filtered to generate the processing results.

The above description is only an overview of the technical solutions of the present invention, and the above-described and other objects, features and advantages of the present invention can be more clearly understood. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments will be described in detail with reference to the accompanying drawings.

Beneficial effect

Compared with the prior art, the smart helmet and the physiological detection method provided by the invention can detect the physiological parameters of the user. Since the helmet is an indispensable sports equipment in many sports, it is not necessary to increase the equipment burden of the user. The test can be completed, and the data can be stored in the helmet first, so that the user can view it after exercise.

DRAWINGS

1 is a schematic structural view of a smart helmet having a physiological detection function according to a first embodiment of the present invention.

2 is a schematic flow chart of a physiological detection method according to a second embodiment of the present invention.

BEST MODE FOR CARRYING OUT THE INVENTION

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

Referring to FIG. 1 , a smart helmet 100 with a physiological detection function according to a first embodiment of the present invention includes a helmet body 10 , a detection module 20 , a data processing communication module 30 , and a power source 40 . The power supply 40 is connected to the detection module 20 and the data processing communication module 30 and supplies power to the detection module 20 and the data processing communication module 30. The power source 40 is located inside the helmet body 10.

The detection module 20 is located inside the helmet body 10 for attaching the skin of the user to obtain physiological parameters of the user.

In the present embodiment, the detecting module 20 includes a physiological sensor 21, which in the embodiment simultaneously detects three parameters of heart rate, blood oxygen and body temperature. In other embodiments, sensors of different detection functions may be installed as desired. The physiological sensor 21 can be detected at any time while being energized, and the physiological sensor 21 senses physiological parameters when the helmet is worn on the head.

The data processing communication module 30 is connected to the detection module 20 and is located in the helmet body 10. The helmet body 10 includes a relatively rigid outer casing 11 and sometimes an inner liner (not shown), and the data processing communication module 30 is located inside the outer casing 11 or between the outer casing 11 and the inner liner.

The data processing communication module 30 includes a central control unit 31, a wireless communication unit 32, and a storage unit 33. The central control unit 31 is equivalent to a microprocessor for performing arithmetic control, and includes processing the physiological parameters to generate a processing result. For example, since the helmet is worn on the head during use, the head often has shaking, and the physiological parameters sampled by the detecting module 20 may be erroneous when shaking, and the data processing communication module 30 will present the current physiological parameters and the preset physiological parameters. After the parameter threshold is compared, if the individual data is too large or too small, the data is regarded as an abnormality, and the abnormal data is filtered to generate a processing result.

It is also possible that the data processing communication module 30 compares the current physiological parameter with the historical physiological parameter stored in the storage unit 33, and filters the individual data that suddenly becomes large or suddenly becomes small to form a processing result.

The wireless communication unit 32 is connected to the central control unit 31 for establishing a connection with the mobile terminal 200 and transmitting the processing result to the mobile terminal. The storage unit 33 is connected to the central control unit 31 for storing the processing result when the wireless communication unit 32 does not establish a connection with the mobile terminal.

The central control unit 31 is further configured to compare the processing result with a preset physiological parameter threshold, and generate a first result indicating that the threshold value is exceeded or a second result indicating that the threshold value is not exceeded, and generate an alarm signal in response to the first result, for example If the heart rate is too fast to exceed the threshold, a first result and an alarm signal are generated; if the body temperature exceeds a preset threshold of 36.8 to 37 degrees, a first result and an alarm signal are generated.

In one embodiment, the helmet body 10 includes a speaker 101. The speaker 101 is connected to the central control unit 31 for playing an alarm sound in response to an alarm signal, so that the user can know his or her physical condition and adjust it as soon as possible.

In yet another embodiment, the helmet body 10 includes a vibration module (not shown) that is coupled to the central control unit 31 for vibrating in response to an alarm signal. It is easier for the head to feel the vibration signal to urge the user to stop exercising and pay attention to his body, which really protects.

Preferably, in the present embodiment, the detecting module 20 includes a proximity sensor 22 in addition to the physiological sensor 21 (the proximity sensor is a general term for a type of sensor that does not need to contact the detection object to obtain a detection result, provided by the prior art), and is close to The sensor 22 is connected to the physiological sensor 21, and the proximity sensor 22 is configured to sense that the helmet body 10 is in proximity to the human body to generate a control signal, and the physiological sensor 21 starts detecting the physiological parameter of the user after receiving the control signal, thereby saving power.

In one embodiment, the helmet body 10 is further provided with a switch button, connected to the power source 40 through a line, and the user manually activates or turns off the power source 40 to activate or deactivate the detection module 20 and the data processing communication module 30.

The central control unit 31 first detects whether the wireless communication unit 32 establishes a connection with the mobile terminal 200, and when no connection is detected, stores the processing result in the storage unit 33. When a connection is detected, the processing result is transmitted to the mobile terminal 200 through the wireless communication unit 32. The storage unit 33 can store data for several hours, for example, 12 hours. If the full output is not output, the oldest data is overwritten and the storage continues. You can also stop storing.

The wireless communication unit 32 transmits data to the mobile terminal 200 in a wireless manner, for example, via a Bluetooth communication protocol. After the wireless communication unit 32 and the mobile terminal 200 are successfully paired, a connection is established.

After receiving the physiological parameters, the mobile terminal 200 displays a real-time data curve on the display for the user to view. When the exercise is over, the mobile terminal 200 generates a complete motion data report.

In summary, the smart helmet 100 provided by the first embodiment of the present invention can detect the physiological parameters of the user, and the helmet is an indispensable sports equipment in many sports, so the detection can be completed without increasing the equipment burden of the user, and the data can be Stored in the helmet first, so that users can view it after exercise.

Second embodiment

Referring to FIG. 2, a physiological detection method according to a second embodiment of the present invention uses a smart helmet having a physiological detection function as shown in the first embodiment, and includes the following steps:

Step S1, the detecting module detects and acquires physiological parameters of the user;

Step S2, the central control unit receives and processes the physiological parameter and generates a processing result;

Step S3: The central control unit detects whether the wireless communication module establishes a connection with the mobile terminal, to generate a first detection result indicating that the connection is not connected or a second detection result indicating the connection;

Step S4, the storage unit stores the processing result in response to the first detection result; or

Step S5, the wireless communication module sends the processing result to the mobile terminal in response to the second detection result.

Further, step S2 includes: the central control unit processes the physiological parameter and generates a processing result, including: comparing the physiological parameter with a preset physiological parameter threshold or a historical physiological parameter stored by the storage unit, and filtering the abnormality Data to generate the processing result. The preset physiological parameter threshold can be stored in the central control unit or stored in the storage unit, and can be called when needed.

In summary, the physiological detection method provided by the second embodiment of the present invention can detect the physiological parameters of the user through the smart helmet, and the helmet is an indispensable sports equipment in the movement, so that the detection can be completed without increasing the equipment burden of the user, and Store the data in a helmet for easy viewing after exercise.

The above-mentioned embodiments are merely illustrative of several embodiments of the present invention, and the description thereof is more specific and detailed, but is not to be construed as limiting the scope of the invention. It should be noted that a number of variations and modifications may be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, the scope of the invention should be determined by the appended claims.

Claims

A smart helmet with physiological detection function, comprising:

Helmet body;

a detecting module, located inside the helmet body, for detecting a physiological parameter of the user;

a data processing communication module, connected to the detection module, located in the helmet body, comprising:

a central control unit, configured to receive and process the physiological parameter and generate a processing result;

a wireless communication unit, coupled to the central control unit, for establishing a connection with the mobile terminal and transmitting the processing result to the mobile terminal;

a storage unit, connected to the central control unit, configured to store the processing result when the wireless communication unit does not establish a connection with the mobile terminal;

The power source is connected to the detecting module and the data processing communication module to supply power.
The smart helmet with physiological detection function according to claim 1, wherein the central control unit is configured to use the physiological parameter and a preset physiological parameter threshold or a historical physiological parameter stored in the storage unit. The comparison is performed and the abnormal data is filtered to generate the processing result.
The smart helmet with physiological detection function according to claim 1, wherein the detection module comprises a proximity sensor and a physiological sensor, the proximity sensor is connected to the physiological sensor, and the proximity sensor is used for sensing The helmet body is coupled to the human body to generate a control signal, and the physiological sensor is configured to receive the control signal and sense a physiological parameter of the user.
The smart helmet with physiological detection function according to claim 1, wherein the helmet body further comprises a switch button connected to the power source for activating or deactivating the detecting module and the data processing communication module.
The smart helmet with physiological detection function according to claim 1, wherein the central control unit is further configured to compare the processing result with a preset physiological parameter threshold and generate a first result indicating that the threshold value is exceeded. Or indicating a second result that does not exceed the threshold and generating an alert signal in response to the first result.
The smart helmet with physiological detection function according to claim 5, wherein the helmet body comprises a speaker, and the speaker is connected to the central control unit for playing an alarm sound in response to the alarm signal.
The smart helmet with physiological detection function according to claim 5, wherein the helmet body comprises a vibration module, and the vibration module is connected to the central control unit for emitting vibration in response to the alarm signal.
The smart helmet with physiological detection function according to claim 1, wherein the wireless communication unit establishes a connection with the mobile terminal through a Bluetooth communication protocol.
A physiological detection method implemented by using the smart helmet with physiological detection function according to claim 1, wherein the method comprises:

The detecting module detects and acquires physiological parameters of the user;

The central control unit receives and processes the physiological parameters and generates a processing result;

The central control unit detects whether the wireless communication module establishes a connection with the mobile terminal to generate a first detection result indicating that the connection is not connected or a second detection result indicating the connection;

The storage unit stores the processing result in response to the first detection result; or

The wireless communication module transmits the processing result to the mobile terminal in response to the second detection result.
The physiological detection method according to claim 9, wherein the processing, by the central control unit, the processing of the physiological parameter and the generation of the processing result comprises: the physiological parameter and a preset physiological parameter threshold or the storage The historical physiological parameters stored by the unit are compared and the abnormal data is filtered to generate the processed result.