CN202397470U - Human body motion data collector based on Internet of things - Google Patents
Human body motion data collector based on Internet of things Download PDFInfo
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- CN202397470U CN202397470U CN2011205307959U CN201120530795U CN202397470U CN 202397470 U CN202397470 U CN 202397470U CN 2011205307959 U CN2011205307959 U CN 2011205307959U CN 201120530795 U CN201120530795 U CN 201120530795U CN 202397470 U CN202397470 U CN 202397470U
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Abstract
The utility model discloses a human body motion data collector based on Internet of things. The human body motion data collector comprises a sensor for acquiring motion data, a controller connected with the sensor and transmitting data to a network communication chip, and the network communication chip connected with the controller and transmitting the motion data to external process equipment. The sensor acquires the human body motion data, the controller transmits the motion data to the network communication chip, then the network communication chip transmits the motion data to the external process equipment, so that the external process equipment calculates the motion data and can timely feed back the calculation result to a user. According to the human body motion data collector based on Internet of things, the motion data are not necessarily stored, and the motion data acquired by the sensor can be immediately transmitted through the network communication chip to feed back to the external process equipment without a storage device, so that the storage device can be saved to save the cost, and moreover, the human body motion data collector based on Internet of things is simple in structure and convenient to operate.
Description
Technical field
This utility model relates to communication technical field, in particular, relates to the human body movement data harvester based on Internet of Things.
Background technology
Along with the increasing concern of modern crowd to health, relevant healthy electronic product is more and more, and how comprehensive and accurate data during human body motion become the problem that present people need solve.Mostly existing product is pedometer, and the normal acceleration value of human body is carried out the leg speed that human body is advanced when walking about through human body.
In research and practice process to prior art, the inventor of this utility model finds that there is following problem in prior art:
Because existing pedometer is subject to memory space and device hardware disposal ability,, just can see the details of storage behind the derived data so need the data derivation of timing with storage inside.Long when service time, when exercise data exceeds the memory space of device, then can't continue to write down new data, can only delete old data and store new data later on again, so existing pedometer uses relative complex.And existing pedometer is subject to the memory space operational capability, so the motion leg speed can only be provided, can not satisfy the higher demand that people individual understands quantity of motion, motor process details.
The utility model content
Advantages such as in view of this, the purpose of design of this utility model is, a kind of human body movement data harvester based on Internet of Things is provided, and is simple with implementation structure, easy to operate.
This utility model embodiment is achieved in that
A kind of human body movement data harvester based on Internet of Things comprises:
Obtain the pick off of exercise data;
With the controller that said pick off is connected, said controller is sent to the network service chip with said exercise data;
Said network service chip is connected with said controller, and said network service chip is sent to external processing apparatus with said exercise data.
Preferably, in the above-mentioned human body movement data harvester based on Internet of Things, said pick off is specially 3-axis acceleration sensor.
Preferably, in the above-mentioned human body movement data harvester based on Internet of Things, said network service chip is specially Bluetooth chip.
Preferably, in the above-mentioned human body movement data harvester based on Internet of Things, said network service chip is specially the 3g module.
Preferably, in the above-mentioned human body movement data harvester based on Internet of Things, said network service chip is specially the WIFI chip.
Preferably, in above-mentioned human body movement data harvester, also comprise the power module that is connected with said pick off, controller and network service chip respectively based on Internet of Things.
Compared with prior art, the technical scheme that provides of this utility model embodiment has the following advantages and characteristics:
In the scheme that this utility model provides; Obtain the exercise data of human body through pick off; And this exercise data is sent in the network service chip through controller; Utilize the network service chip that this exercise data is sent in the external processing apparatus again,, can feed back to the user timely so that external processing apparatus calculates the exercise data of human body.Compared with prior art, the scheme that this utility model provides does not need the storing moving data, can feed back to external processing apparatus through the instant exercise data that pick off is got access to of network service chip; Need not memory device; So not only saved memory device, practiced thrift cost, and; Simple in structure, easy to operate.
Description of drawings
In order to be illustrated more clearly in this utility model or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiment of this utility model, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is for this utility model provided based on the module map of the human body movement data harvester of Internet of Things.
The specific embodiment
To combine the accompanying drawing among this utility model embodiment below, the technical scheme among this utility model embodiment is carried out clear, intactly description, obviously, described embodiment only is this utility model part embodiment, rather than whole embodiment.Based on the embodiment in this utility model, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of this utility model protection.
This utility model embodiment provides a kind of human body movement data harvester based on Internet of Things, comprising: the pick off that obtains exercise data; With the controller that said pick off is connected, said controller is sent to the network service chip with said exercise data; Said network service chip is connected with said controller, and said network service chip is sent to external processing apparatus with said exercise data.
Because there is multiple mode in the concrete realization of above-mentioned human body movement data harvester based on Internet of Things, is elaborated through specific embodiment below:
See also shown in Figure 1ly, shown in Figure 1 is a kind of human body movement data harvester 1 based on Internet of Things, comprising: the pick off 11 that obtains exercise data; With the controller 12 that said pick off 11 is connected, said controller 12 is sent to network service chip 13 with said exercise data; Said network service chip 13 is connected with said controller 12, and said network service chip 13 is sent to external processing apparatus 2 with said exercise data.
In the embodiment shown in fig. 1; Obtain the exercise data of human body through pick off 11, and this exercise data is sent in the network service chip 13 through controller 12, utilize network service chip 13 that this exercise data is sent in the external processing apparatus 2 again; So that the exercise data of 2 pairs of human bodies of external processing apparatus calculates; Can feed back to the user timely, utilize the powerful storage calculation function of external processing apparatus 2, more comprehensively somatic data analysis is provided; Comprise information such as motion frequency, step number, motion consumption, and can instant playback.Compared with prior art, the scheme that this utility model provides does not need the storing moving data, can feed back to external processing apparatus 2 through the network service chip 13 instant exercise datas that pick off 11 is got access to; Need not memory device; So not only saved memory device, practiced thrift cost, and; Simple in structure, easy to operate.
In the embodiment shown in fig. 1, said pick off 11 specifically can be 3-axis acceleration sensor.Said network service chip 13 both can be Bluetooth chip, also can be the 3g module, can also be the WIFI chip, can carry out concrete setting according to different purposes.If network service chip 13 is set to Bluetooth chip, the exercise data that then can earlier pick off 11 be obtained sends to mobile phone through Bluetooth chip, utilizes mobile phone that exercise data is sent to external processing apparatus 2 again; If network service chip 13 is set to the 3g module, then can the exercise data that pick off 11 obtains directly be sent to external processing apparatus 2 through the 3g module; If network service chip 13 is set to the WIFI chip, the exercise data that then can earlier pick off 11 be obtained sends to wireless router through the WIFI chip, utilizes wireless router through network exercise data to be sent to external processing apparatus 2 again.In addition, in the present embodiment, can also comprise respectively the power module 14 that is connected with network service chip 13 with said pick off 11, controller 12, so that power module 14 provides electric weight for pick off 11, controller 12 and network service chip 13.
Need to prove that embodiment shown in Figure 1 is the preferred embodiment that this utility model is introduced, those skilled in the art can design more embodiment on this basis fully, therefore do not give unnecessary details herein.
To the above-mentioned explanation of the disclosed embodiments, make this area professional and technical personnel can realize or use this utility model.Multiple modification to these embodiment will be conspicuous concerning those skilled in the art, and defined General Principle can realize under the situation of spirit that does not break away from this utility model or scope in other embodiments among this paper.Therefore, this utility model will can not be restricted to these embodiment shown in this paper, but will meet and principle disclosed herein and features of novelty the wideest corresponding to scope.
Claims (6)
1. the human body movement data harvester based on Internet of Things is characterized in that, comprising:
Obtain the pick off of exercise data;
With the controller that said pick off is connected, said controller is sent to the network service chip with said exercise data;
Said network service chip is connected with said controller, and said network service chip is sent to external processing apparatus with said exercise data.
2. the human body movement data harvester based on Internet of Things according to claim 1 is characterized in that said pick off is specially 3-axis acceleration sensor.
3. the human body movement data harvester based on Internet of Things according to claim 1 is characterized in that said network service chip is specially Bluetooth chip.
4. the human body movement data harvester based on Internet of Things according to claim 1 is characterized in that said network service chip is specially the 3g module.
5. the human body movement data harvester based on Internet of Things according to claim 1 is characterized in that said network service chip is specially the WIFI chip.
6. the human body movement data harvester based on Internet of Things according to claim 1 is characterized in that, also comprises the power module that is connected with said pick off, controller and network service chip respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011205307959U CN202397470U (en) | 2011-12-16 | 2011-12-16 | Human body motion data collector based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011205307959U CN202397470U (en) | 2011-12-16 | 2011-12-16 | Human body motion data collector based on Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202397470U true CN202397470U (en) | 2012-08-29 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN2011205307959U Expired - Fee Related CN202397470U (en) | 2011-12-16 | 2011-12-16 | Human body motion data collector based on Internet of things |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107714045A (en) * | 2017-11-11 | 2018-02-23 | 成都正光恒电子科技有限责任公司 | A kind of human body movement data collector based on Internet of Things |
| CN107945849A (en) * | 2017-11-17 | 2018-04-20 | 长沙瑞晓知识产权服务有限公司 | A kind of motion analysis system based on cloud computing |
| CN114098712A (en) * | 2017-02-08 | 2022-03-01 | 谷歌有限责任公司 | Ergonomic assessment garment |
-
2011
- 2011-12-16 CN CN2011205307959U patent/CN202397470U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114098712A (en) * | 2017-02-08 | 2022-03-01 | 谷歌有限责任公司 | Ergonomic assessment garment |
| CN107714045A (en) * | 2017-11-11 | 2018-02-23 | 成都正光恒电子科技有限责任公司 | A kind of human body movement data collector based on Internet of Things |
| CN107945849A (en) * | 2017-11-17 | 2018-04-20 | 长沙瑞晓知识产权服务有限公司 | A kind of motion analysis system based on cloud computing |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120829 Termination date: 20141216 |
|
| EXPY | Termination of patent right or utility model |