CN113476808A - Intelligent physical exercise data measuring method and device - Google Patents

Intelligent physical exercise data measuring method and device Download PDF

Info

Publication number
CN113476808A
CN113476808A CN202110779829.6A CN202110779829A CN113476808A CN 113476808 A CN113476808 A CN 113476808A CN 202110779829 A CN202110779829 A CN 202110779829A CN 113476808 A CN113476808 A CN 113476808A
Authority
CN
China
Prior art keywords
information
sports
motion
data
exercise
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.)
Pending
Application number
CN202110779829.6A
Other languages
Chinese (zh)
Inventor
李俊勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yantai Engineering and Technology College
Original Assignee
Yantai Engineering and Technology College
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Yantai Engineering and Technology College filed Critical Yantai Engineering and Technology College
Priority to CN202110779829.6A priority Critical patent/CN113476808A/en
Publication of CN113476808A publication Critical patent/CN113476808A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0003Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
    • A63B24/0006Computerised comparison for qualitative assessment of motion sequences or the course of a movement
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0021Tracking a path or terminating locations
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06Indicating or scoring devices for games or players, or for other sports activities
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0605Decision makers and devices using detection means facilitating arbitration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0003Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
    • A63B24/0006Computerised comparison for qualitative assessment of motion sequences or the course of a movement
    • A63B2024/0012Comparing movements or motion sequences with a registered reference
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00Measuring of physical parameters relating to sporting activity
    • A63B2220/80Special sensors, transducers or devices therefor
    • A63B2220/83Special sensors, transducers or devices therefor characterised by the position of the sensor
    • A63B2220/836Sensors arranged on the body of the user
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2230/00Measuring physiological parameters of the user

Abstract

The invention discloses an intelligent physical exercise data measuring method and device, belonging to the technical field related to data measurement, and comprising the following specific steps: identity recognition: identifying the identity of the user; establishing a database: establishing a database based on historical motion information of each part of the body in each sports item; data acquisition: acquiring motion information acquired by each measuring device and physiological information of a user in real time; and (3) motion data processing: receiving the sports information, analyzing and superposing the sports information, and judging the type of the sports item; and (3) data storage: counting or timing according to different project types, and storing; and (4) limit reminding: generating limit reminding according to the physiological information, the sports items and the sports duration of the user; the sports data acquisition device has the advantages that the sports items are divided through the movement information acquired by the acquisition device, the intelligent measurement of the movement data is realized through the mode of independently calculating the movement amount through the sports items which are not used, and the accurate calculation of the movement amount is ensured.

Description

Intelligent physical exercise data measuring method and device
Technical Field
The invention relates to the technical field related to data measurement, in particular to an intelligent sports data measurement method and device.
Background
Physical exercise is a consciously fostered activity of self-body fitness that develops gradually during human development. Various physical activities of walking, running, jumping, casting, and dancing, which are commonly referred to as physical exercise processes, are performed.
It is rich in contents, and has various items such as track and field, ball, swimming, martial arts, aerobics, mountaineering, skating, weightlifting, wrestling, judo, bicycle, etc.
Different projects also are different to the consumption of human body energy, the motion limit of different people is different, in order to ensure the reasonable and safety of human motion, consequently the data of measurement sports that can be accurate is crucial, but can only measure the data of single motion among the prior art, or can only go through metabolism and predict the amount of exercise, consequently research and development one kind can carry out accurate judgement to multiple sports events, the device that multiple project motion data carry out the precision measurement is the problem that technical staff in the field need to solve urgently.
Disclosure of Invention
In view of this, the present invention provides an intelligent sports data measuring method and device, which can intelligently divide sports items.
In order to achieve the above purpose, the invention provides the following technical scheme:
an intelligent physical exercise data measuring method comprises the following specific steps:
identity recognition: identifying the identity of the user;
establishing a database: establishing a database based on historical motion information of each part of the body in each sports item;
data acquisition: acquiring motion information and physiological information in real time;
and (3) motion data processing: receiving the motion information, extracting the motion characteristics of the sports event, superposing the motion characteristics, and judging the type of the sports event;
and (3) data storage: counting or timing according to different sports events, and storing;
and (4) limit reminding: and generating limit reminding according to the obtained physiological information, the sports items and the sports time length.
Preferably, the identification method is any one or a combination of fingerprint identification, key identification, facial identification, and pulse wave identification.
Preferably, the specific steps of establishing the database are as follows:
acquiring historical motion information of each part of the body in each sports item;
extracting characteristic values of the motion information in each sports event according to the obtained historical motion information of each sports event;
dividing the characteristic values of the motion information in each sports item according to the obtained body parts, and obtaining motion characteristic values by weighting and summing the characteristic values of each body part and the corresponding physiological information;
and storing the motion characteristic numerical value into a database.
The method has the advantages that the basis of the sports event is converted into a numerical value, and the division of the sports event can be more convenient.
Preferably, the motion information includes acceleration information, angular velocity information, motion direction information, and frequency information.
Preferably, the data processing comprises the following specific steps:
s41, acquiring motion information and physiological information;
s42, extracting motion characteristics of the motion information obtained at the same time according to the position information;
s43, respectively averaging the motion characteristics extracted within a fixed time according to the position information;
s44, weighting and summing the mean value information and the physiological information to obtain a motion characteristic value;
s45, comparing the obtained motion characteristic value with the motion characteristic value in the database to obtain the name of the sports item;
s46, timing the sports event;
s47, set time repeat S41.
Preferably, the limit reminder specifically includes:
calling historical physiological information and medical history, predicting the born extreme exercise amount by utilizing a neural network, and obtaining an exercise amount extreme threshold;
acquiring physiological information, and adjusting a motion amount limit threshold;
calculating the amount of exercise according to the sports items and the exercise duration;
and when the amount of exercise exceeds the fixed ratio of the exercise limit threshold, sending out limit reminding.
An intelligent athletic movement data measuring device, comprising: the device comprises an identification device, a collection device, a transmission device, a processing device and a storage device;
identification means for identifying the identity of a user;
the acquisition device is used for acquiring motion information and physiological information;
the transmission device is used for transmitting data information;
the processing device is used for establishing a database according to the historical motion information; receiving motion information and physiological information; judging the type of the sports event according to the sports information, and calculating the amount of sports; estimating a motion amount limit threshold value according to physiological information; generating limit reminding according to the relationship between the exercise amount and the exercise amount limit threshold;
and a storage device for storing the obtained data in a classified manner.
Preferably, the acquisition device comprises a motion information acquisition device and a physiological information acquisition device, the motion information acquisition device is positioned on four limbs and the waist of the human body, and the physiological information acquisition device is positioned adjacent to the heart.
According to the technical scheme, compared with the prior art, the method and the device for measuring the intelligent sports data are provided, the sports items are divided through the sports information obtained by the acquisition device, the intelligent measurement of the sports data is realized through a mode of independently calculating the amount of sports through different sports items, and the accurate calculation of the amount of sports is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic flow diagram of the present invention;
fig. 2 is a schematic structural diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses an intelligent physical exercise data measuring method and device, which comprises a measuring method and a measuring device, wherein the measuring method is shown as the attached figure 1 and specifically comprises the following steps:
firstly, collecting motion data generated by each part of a body in various sports projects and body characteristics of a corresponding person in various modes, such as the Internet, a training center and the like, classifying the collected motion data according to the sports projects, extracting characteristic values of motion information according to the classification, dividing the characteristic values of the motion information according to the obtained body parts, and weighting and summing the characteristic values of each part of the body and the corresponding physiological information to obtain motion characteristic values; storing the motion characteristic numerical value into a database; after a user wears the intelligent physical exercise data measuring device, the pulse wave of the user is identified through the identification device, the identity of the user is judged, after the identity of the user is determined, historical data and medical history of physiological information of the user are extracted and adjusted, the limit exercise amount born by the user is predicted by utilizing a neural network, and the predicted value is determined as the exercise amount limit threshold; acquiring the current physiological information of a user, and properly adjusting the exercise amount limit threshold according to the current physiological information; acquiring motion information of a user according to an acquisition device, extracting characteristics according to the similarity of acquisition time, and extracting motion characteristics of the motion information acquired at the same time according to position information; respectively averaging the extracted motion characteristics within a fixed time according to the position information; weighting and summing the mean value information and the physiological information to obtain a motion characteristic numerical value; comparing the obtained motion characteristic numerical value with the motion characteristic numerical value in the database to obtain the name of the sports event; the exercise time and the physiological information are measured and recorded, the sports events are judged at regular time, the records of the sports events can be corrected timely when the user changes the sports events, the information such as the sports events, the exercise time and the like is transmitted to the processing device, the exercise amount of the user is accurately calculated, and when the exercise amount of the user is larger than a fixed multiple of the exercise amount limit threshold value, limit reminding is sent.
The physiological information includes data such as age, sex, heart rate, height and weight.
When a user is moving, the motion information acquisition device worn between the four limbs and the waist and the abdomen of the user acquires the motion information of the user, the physiological information acquisition device worn at the position, adjacent to the heart, outside the chest of the user acquires the physiological information of the user, the acceleration information, the angular velocity information, the motion direction information and the frequency information in the motion information acquired within 3 minutes are weighted and summed with the physiological information of the user according to the velocity, the direction and the frequency information of the change between the four limbs and the waist and the abdomen to obtain a motion characteristic value, and the motion characteristic value is compared with the motion characteristic value in the database to determine what motion is being performed, for example: when detecting that two arms of a user move forwards and backwards in an alternating mode at an angle of less than 45 degrees and left and right according to a fixed frequency, wrists move forwards and backwards according to the frequency of the arms, waists tilt forwards by 5 degrees, left legs and right legs swing forwards and backwards in an alternating mode at an angle of 40 degrees, ankles swing forwards and backwards at an angle of 50 degrees, and the age, sex, heart rate, height and weight of the user are compared with the motion characteristic values in the database according to the motion information accounting for 0.7 and the physiological information accounting for 0.3 to obtain a motion characteristic value, so that the user is determined to run, whether the user runs slowly or quickly is determined according to the acceleration information and the frequency information, and the physical exercise items of the user are repeatedly detected every 10 minutes; when the user changes the sports items, the movement records are changed in time, the movement time is recorded and sent to the processing module, and the amount of movement is calculated according to the sports items of the user; the predicted exercise amount limit threshold is adjusted according to the existing physiological information of the user, when the exercise amount of the user is more than eighty percent of the exercise amount limit threshold, limit reminding is sent out to remind the user that the exercise amount is over-limit, and when the exercise amount of the user exceeds the exercise amount limit threshold, warning reminding is sent out to remind the user that the exercise amount is over-limit.
An intelligent athletic movement data measuring device, comprising: the device comprises an identification device, an acquisition device, a transmission device, a processing device and a storage device, wherein the acquisition device is connected with the identification device and the processing device through the transmission device; the processing device is connected with the storage device through the transmission device;
identification means for identifying the identity of a user;
the acquisition device is used for acquiring motion information and physiological information;
the transmission device is used for transmitting data information;
the processing device is used for establishing a database according to the historical motion information; receiving motion information and physiological information; judging the type of the sports event according to the sports information, and calculating the amount of sports; estimating a motion amount limit threshold value according to physiological information; generating limit reminding according to the relationship between the exercise amount and the exercise amount limit threshold;
and a storage device for storing the obtained data in a classified manner.
The identification device can adopt any one identification mode or a plurality of combined identification modes of fingerprint characteristic identification, secret key identification, facial characteristic identification and pulse wave characteristic identification.
The collecting device is a collecting ring comprising a sensor, and the collecting ring comprises an arm ring, a hand ring, a leg ring, an ankle ring, an abdominal ring and a heart collecting patch;
the heat conducting layer is arranged below the sensor by the collecting ring and the collecting patch, and the collecting ring and the collecting patch are made of waterproof heat conducting pouring sealant materials and used for preventing external water or other liquid from invading the sensor and conducting heat outwards when the sensor works;
the battery of the acquisition device can adopt a flexible battery or a button battery.
When the electric quantity is lower than the lowest electric quantity threshold value, sending a message that the electric quantity is too low to a user, and reminding the user to replace a battery or charge;
the transmission device can adopt Bluetooth communication, adopts an ultra-low power consumption ble single-mode Bluetooth chip and is internally provided with a programmable processor unit for information transmission;
the storage device adopts any one storage device of a hard disk, a floppy disk, a tape, a magnetic core memory, a bubble memory and a U disk or a plurality of mixed storage devices.
When the acquisition device does not detect the motion information and the physiological information within a certain time, the acquisition device enters a sleep state.
In another embodiment, the acquisition loop may be an acquisition patch.
In another embodiment, the transmitting means is a wireless transmission.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (8)

1. An intelligent physical exercise data measuring method is characterized by comprising the following specific steps:
identity recognition: identifying the identity of the user;
establishing a database: establishing a database based on historical motion information of each part of the body in each sports item;
data acquisition: acquiring motion information and physiological information in real time;
and (3) motion data processing: receiving the motion information, extracting the motion characteristics of the sports event, superposing the motion characteristics, and judging the type of the sports event;
and (3) data storage: counting or timing according to different sports events, and storing;
and (4) limit reminding: and generating limit reminding according to the obtained physiological information, the sports items and the sports time length.
2. An intelligent sports data measurement method according to claim 1, wherein in the identification, any one or a combination of fingerprint feature identification, key identification, facial feature identification, and pulse wave feature identification is used.
3. The intelligent physical exercise data measurement method according to claim 1, wherein the database is established by the specific steps of:
acquiring historical motion information of each part of the body in each sports item;
extracting characteristic values of the motion information in each sports event according to the obtained historical motion information of each sports event;
dividing the characteristic values of the motion information in each sports item according to the obtained body parts, and weighting and summing the characteristic values of each body part and the corresponding physiological information to obtain a motion characteristic numerical value;
and storing the motion characteristic numerical value into a database.
4. An intelligent sports motion data measurement method according to any one of claims 1-3, wherein the motion information includes acceleration information, angular velocity information, motion direction information, and frequency information.
5. The intelligent physical exercise data measurement method according to claim 1, wherein the data processing comprises the following specific steps:
s41, acquiring motion information and physiological information;
s42, extracting motion characteristics of the motion information obtained at the same time according to the position information;
s43, respectively averaging the motion characteristics extracted within a fixed time according to the position information;
s44, weighting and summing the mean value information and the physiological information to obtain a motion characteristic value;
s45, comparing the obtained motion characteristic value with the motion characteristic value in the database to obtain the name of the sports item;
s46, timing or counting the sports events;
s47, set time repeat S41.
6. The intelligent sports data measurement method according to claim 5, wherein the limit reminder specifically comprises:
calling historical physiological information and medical history, predicting the born extreme exercise amount by utilizing a neural network, and obtaining an exercise amount extreme threshold;
acquiring physiological information, and adjusting a motion amount limit threshold;
calculating the amount of exercise according to the sports items and the exercise duration;
and when the amount of exercise exceeds the fixed ratio of the exercise limit threshold, sending out limit reminding.
7. An intelligent physical exercise data measuring device, comprising: the device comprises an identification device, a collection device, a transmission device, a processing device and a storage device;
identification means for identifying the identity of a user;
the acquisition device is used for acquiring motion information and physiological information;
the transmission device is used for transmitting data information;
the processing device is used for establishing a database according to the historical motion information; receiving motion information and physiological information; judging the type of the sports event according to the sports information, and calculating the amount of sports; estimating a motion amount limit threshold value according to physiological information; generating limit reminding according to the relationship between the exercise amount and the exercise amount limit threshold;
and a storage device for storing the obtained data in a classified manner.
8. The intelligent sports data measuring device according to claim 7, wherein the collecting device comprises a sports information collecting device and a physiological information collecting device, the sports information collecting device is located on the limbs and the waist of the human body, and the physiological information collecting device is located adjacent to the heart.
CN202110779829.6A 2021-07-09 2021-07-09 Intelligent physical exercise data measuring method and device Pending CN113476808A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110779829.6A CN113476808A (en) 2021-07-09 2021-07-09 Intelligent physical exercise data measuring method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110779829.6A CN113476808A (en) 2021-07-09 2021-07-09 Intelligent physical exercise data measuring method and device

Publications (1)

Publication Number Publication Date
CN113476808A true CN113476808A (en) 2021-10-08

Family

ID=77938307

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110779829.6A Pending CN113476808A (en) 2021-07-09 2021-07-09 Intelligent physical exercise data measuring method and device

Country Status (1)

Country Link
CN (1) CN113476808A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114344856A (en) * 2022-01-01 2022-04-15 北京市商汤科技开发有限公司 Data processing method, device, equipment and computer readable storage medium

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5788655A (en) * 1994-09-07 1998-08-04 Omron Corporation Exercise amount measuring device capable of displaying the amount of exercise to be performed further
US20090312150A1 (en) * 2008-06-11 2009-12-17 Mu-Chuan Wu Exercise system capable of providing heart rate detection warning and control method thereof
CN102804238A (en) * 2011-12-15 2012-11-28 北京英福生科技有限公司 Exercise reminding device and system
CN104200234A (en) * 2014-07-11 2014-12-10 杭州微纳科技有限公司 Human body action modeling and recognizing method
CN107213619A (en) * 2017-07-04 2017-09-29 曲阜师范大学 Sports training assessment system
CN108970085A (en) * 2018-07-03 2018-12-11 上海翰临电子科技有限公司 Move physical efficiency analysis method, equipment and storage medium
CN110384505A (en) * 2019-07-25 2019-10-29 四川云杉智途科技有限公司 A kind of method and technology field of automatic detection human motion type
CN110801216A (en) * 2020-01-08 2020-02-18 中科寒武纪科技股份有限公司 Abnormity early warning method and related equipment

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5788655A (en) * 1994-09-07 1998-08-04 Omron Corporation Exercise amount measuring device capable of displaying the amount of exercise to be performed further
US20090312150A1 (en) * 2008-06-11 2009-12-17 Mu-Chuan Wu Exercise system capable of providing heart rate detection warning and control method thereof
CN102804238A (en) * 2011-12-15 2012-11-28 北京英福生科技有限公司 Exercise reminding device and system
CN104200234A (en) * 2014-07-11 2014-12-10 杭州微纳科技有限公司 Human body action modeling and recognizing method
CN107213619A (en) * 2017-07-04 2017-09-29 曲阜师范大学 Sports training assessment system
CN108970085A (en) * 2018-07-03 2018-12-11 上海翰临电子科技有限公司 Move physical efficiency analysis method, equipment and storage medium
CN110384505A (en) * 2019-07-25 2019-10-29 四川云杉智途科技有限公司 A kind of method and technology field of automatic detection human motion type
CN110801216A (en) * 2020-01-08 2020-02-18 中科寒武纪科技股份有限公司 Abnormity early warning method and related equipment

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114344856A (en) * 2022-01-01 2022-04-15 北京市商汤科技开发有限公司 Data processing method, device, equipment and computer readable storage medium

Similar Documents

Publication Publication Date Title
US11596350B2 (en) System and method for estimating cardiovascular fitness of a person
Seeger et al. myHealthAssistant: a phone-based body sensor network that captures the wearer's exercises throughout the day
US10900992B2 (en) Calculating pace and energy expenditure from athletic movement attributes
US8876738B1 (en) Human activity monitoring device
US10285625B2 (en) Activity monitoring computing device and system
WO2013082436A1 (en) Intelligent activity monitoring
WO2015087164A1 (en) Signature based monitoring systems and methods
WO2010036488A1 (en) Personalized activity monitor and weight management system
Delgado-Gonzalo et al. Real-time monitoring of swimming performance
CN113476808A (en) Intelligent physical exercise data measuring method and device
WO2016103197A1 (en) Classifying multiple activity events
Cvetković et al. Towards human energy expenditure estimation using smart phone inertial sensors
CN113967004A (en) Intelligent shoes
Wu et al. Gait Detection using a Single Accelerometer
JP2013085643A (en) Physical activity meter, and health control system
US20240057895A1 (en) Musculoskeletal strain
US20240049989A1 (en) Gait evaluation system and gait evaluation method
Mohamed et al. Investigation of the Optimal Sensor Location and Classifier for Human Motion Classification
Ren et al. Analysis of Dynamic System of Exercise Load Condition Monitoring Based on Characteristic Parameters

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20211008