WO2016192251A1 - 一种可穿戴设备及进食监控方法 - Google Patents

一种可穿戴设备及进食监控方法 Download PDF

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Publication number
WO2016192251A1
WO2016192251A1 PCT/CN2015/090325 CN2015090325W WO2016192251A1 WO 2016192251 A1 WO2016192251 A1 WO 2016192251A1 CN 2015090325 W CN2015090325 W CN 2015090325W WO 2016192251 A1 WO2016192251 A1 WO 2016192251A1
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WIPO (PCT)
Prior art keywords
alarm
frequency
eating
user
wearable device
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PCT/CN2015/090325
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English (en)
French (fr)
Inventor
李牧冰
陈忠君
王海生
陈小川
董学
刘建涛
苗京花
李昌峰
Original Assignee
京东方科技集团股份有限公司
北京京东方光电科技有限公司
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Application filed by 京东方科技集团股份有限公司, 北京京东方光电科技有限公司 filed Critical 京东方科技集团股份有限公司
Priority to US15/023,547 priority Critical patent/US10499833B2/en
Publication of WO2016192251A1 publication Critical patent/WO2016192251A1/zh

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1123—Discriminating type of movement, e.g. walking or running
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00—Teaching not covered by other main groups of this subclass
    • G09B19/0092—Nutrition
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6824—Arm or wrist
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms

Definitions

  • the present disclosure relates to wearable devices, and more particularly to a wearable device and a food monitoring method.
  • Gastrointestinal diseases are a very common condition, especially in large and medium-sized cities where life is fast, and the incidence of stomach diseases is high. There are many factors that cause stomach problems, and the speed of eating is too fast, which is a relatively common factor. Therefore, how to effectively monitor the eating speed of diners has become a technical problem to be solved urgently.
  • the present disclosure provides a wearable device and a food monitoring method capable of effectively monitoring the eating frequency of a diners and alerting the diners when eating too fast.
  • a wearable device including:
  • a processing unit configured to be connected to the acceleration sensor, configured to count, according to the acceleration information, a number of times of eating by a user within a predetermined duration, to obtain a frequency of eating of the user;
  • a comparison unit connected to the processing unit, configured to compare the feeding frequency with a reference frequency, and when comparing the eating frequency to be greater than or equal to the reference frequency, generate a first alarm signal
  • An alarm is connected to the comparison unit for performing an alarm after receiving the first alarm signal.
  • the wearable device further includes:
  • a display unit connected to the comparison unit, for displaying after receiving the first alarm signal Shows the frequency of eating by the user.
  • the wearable device further includes:
  • a statistical unit connected to the processing unit, configured to count an average eating frequency of the user within a predetermined test period, and use the average eating frequency as the reference frequency;
  • a memory connected to the statistical unit for storing the reference frequency.
  • the wearable device further includes:
  • a mode setting unit for setting a test mode and a eating monitoring mode
  • a controller connected to the mode setting unit, configured to control the operation of the statistical unit when the test mode is set, the comparison unit does not work, and when the food monitoring mode is set, the comparison unit is controlled to work, The statistic unit does not work.
  • the wearable device further includes:
  • a frequency setting unit configured to provide a frequency setting interface, so that a user sets the reference frequency
  • a memory connected to the frequency setting unit for storing the reference frequency.
  • the wearable device further includes:
  • control switch for generating an enable signal under operation of the user and capable of generating a shutdown signal under operation of the user
  • a power supply unit connected to the control switch, the acceleration sensor, the processing unit, and the alarm, for powering on the acceleration sensor, the processing unit, and the alarm after receiving the open signal, and receiving After the shutdown signal, the acceleration sensor, the processing unit, and the alarm are powered off.
  • the wearable device further includes:
  • a counter connected to the processing unit, configured to collect a total number of times the user eats after power-on, and generate a second alarm signal when the total number of foods exceeds a predetermined threshold
  • the alarm is further configured to perform an alarm after receiving the second alarm signal, and the alarm mode adopted by the alarm device after receiving the second alarm signal is after receiving the first alarm signal
  • the alarm method used is different.
  • the alarm is a vibration alarm, an audible alarm, a warning light or a display unit.
  • the wearable device is a bracelet.
  • the present disclosure also provides a food monitoring method applied to the above wearable device, the method package include:
  • An alarm is issued after receiving the first alarm signal.
  • the present disclosure also provides a wearable device that can be worn on a user's arm, including: an acceleration sensor, an amplification filter, an analog to digital converter, a micro control unit, a random access memory, a digital to analog converter, an alarm, and a display unit;
  • the acceleration sensor is configured to collect acceleration information of a user arm, and convert the acceleration information into an analog electrical signal
  • the amplification filter is connected to the acceleration sensor for performing amplification filtering processing on the received analog electrical signal
  • the analog-to-digital converter is connected to the amplification filter, and is configured to convert the amplified analog signal amplified by the amplification filter into a digital signal;
  • the micro control unit is configured to obtain, according to the digital signal, a frequency of eating of the user within a predetermined time period, and compare the eating frequency with a reference frequency, when comparing the eating frequency to be greater than or equal to the At the reference frequency, a first alarm signal is generated.
  • the random access memory is connected to the micro control unit for storing the reference frequency.
  • the digital-to-analog converter is connected to the micro control unit for converting a user's eating frequency into an analog signal and transmitting the signal to the display unit;
  • the display unit is connected to the digital-to-analog converter for displaying the eating frequency
  • the alarm is connected to the micro control unit for performing an alarm according to the first alarm signal.
  • Figure 1 is a schematic view showing the swinging state of the arm when the diners are eating
  • FIG. 2 is a schematic diagram showing changes in acceleration of a swinging arm when a diners are eating
  • FIG. 3 is a structural block diagram of a wearable device according to Embodiment 1 of the present disclosure.
  • FIG. 4 is a structural block diagram of a wearable device according to Embodiment 2 of the present disclosure.
  • FIG. 5 is a schematic flow chart of a food eating monitoring method according to an embodiment of the present disclosure.
  • FIG. 6 is a schematic flowchart of a method for converting acceleration information into a number of eating times according to an embodiment of the present disclosure
  • FIG. 7 is a schematic flowchart diagram of a method for calculating a meal frequency according to an embodiment of the present disclosure
  • FIG. 8 is a schematic flowchart diagram of a method for calculating a reference frequency according to an embodiment of the present disclosure
  • FIG. 9 is a structural block diagram of a wearable device according to an embodiment of the present disclosure.
  • FIG. 1 is a schematic view showing the swinging state of the arm when the diners are eating. As can be seen from FIG. 1, the swinging range of the arm when the diners are eating is approximately 1/4 circumference. The acceleration changes as the arm swings.
  • FIG. 2 is a schematic diagram showing the change of acceleration when the occupant swings while eating.
  • Fig. 2(1) is the change of the acceleration generated when the arm swings upward.
  • a vertical acceleration (a1) is generated, which is vertical as the arm swings upward.
  • the acceleration in the direction also changes (a2), and the acceleration in the vertical direction after reaching the vertex is zero.
  • Fig. 2(2) is the change of the acceleration generated when the arm swings downward.
  • a horizontal acceleration (a3) is generated, with the arm down.
  • the oscillating motion also changes in the horizontal direction (a4), and the acceleration in the horizontal direction is 0 after reaching the horizontal position.
  • the acceleration information of the user (ie, the diners) arm can be collected by the acceleration sensor, and different sinusoids can be drawn due to different acceleration changes.
  • the acceleration sensor When there is a peak to trough change in the vertical direction, there is a peak to the trough in the horizontal direction.
  • the change it can be considered that the diners complete a meal, that is, the number of times the diners eat can be counted by statistically changing the acceleration.
  • an embodiment of the present disclosure provides a wearable device that can be worn on a user's arm.
  • the wearable device includes:
  • a processing unit configured to be connected to the acceleration sensor, configured to count, according to the acceleration information, a number of times of eating of the user within a predetermined duration, that is, a feeding frequency;
  • a comparison unit connected to the processing unit, configured to compare the feeding frequency with a reference frequency, and when comparing the eating frequency to be greater than or equal to the reference frequency, generate a first alarm signal
  • An alarm is connected to the comparison unit for performing an alarm after receiving the first alarm signal.
  • the wearable device of the embodiment of the present disclosure by collecting and analyzing the acceleration information of the user's arm, the number of times of eating of the user within a predetermined time period is counted, and the frequency of eating of the user is obtained, and the user's eating frequency is used to determine whether the user eats too fast, when eating Alarms are promptly notified to prompt users to adjust the eating speed to prevent the occurrence of gastrointestinal diseases.
  • the acceleration sensor of the embodiment of the present disclosure can collect information of acceleration in the horizontal direction and the vertical direction, and transmit the information to the processing unit, and the processing unit analyzes the change of the acceleration in the horizontal direction and the vertical direction.
  • the acceleration in the vertical direction has a peak-to-valley change
  • the processing unit analyzes the change of the acceleration in the horizontal direction and the vertical direction.
  • the comparing unit of the embodiment of the present disclosure compares the current feeding frequency of the user with a reference frequency, which can be expressed as “five times every 30 seconds”. In the specific comparison, only the number of eating times is compared (for example, comparing 8 and 5). That is, the reference frequency can also be expressed as "0.17 times/second", and the specific frequency is compared (for example, 0.27 and 0.17). A first alarm signal is generated when the eating frequency is compared to be greater than or equal to the reference frequency.
  • the alarm device of the embodiment of the present disclosure may adopt a vibration alarm, an audible alarm, a warning light, and the like. The alarm is given.
  • the wearable device of the embodiment of the present disclosure may further include a display unit connected to the comparison unit, configured to display a frequency of eating of the user after receiving the first alarm signal.
  • the displayed eating frequency information may be “the current eating frequency is 8 times every 30 seconds”, so that the user can adjust the eating speed as a reference after viewing the eating frequency information.
  • the display unit can also be used as an alarm to alarm, for example, flashing to display "fast eating speed” and the like, so as to facilitate user discovery.
  • the wearable device of the embodiment of the present disclosure may be a wristband, or may be a watch, which may have two working modes: a time display working mode and a eating monitoring mode. In the time display mode, time information is displayed, and the above is not activated. Acceleration sensor, processing unit, comparison unit and alarm; in the food monitoring mode, the above acceleration sensor, processing unit, comparison unit and alarm are activated to perform food monitoring.
  • the first way preset the reference frequency before leaving the factory and store it in the wearable device.
  • the second way a frequency setting unit is provided by the wearable device. As shown in FIG. 9, the frequency setting unit can provide a frequency setting interface for the user to set the reference frequency.
  • a third way is: counting, by the wearable device, a meal frequency within a predetermined test period (for example, one week or one month) of the user, and using an average meal frequency within a predetermined test period as the reference frequency.
  • a predetermined test period for example, one week or one month
  • the wearable device may further include:
  • a statistical unit connected to the processing unit, configured to count an average eating frequency of the user within a predetermined test period, and use the average eating frequency as the reference frequency;
  • a memory connected to the statistical unit for storing the reference frequency.
  • the wearable device may further include:
  • a mode setting unit for setting a test mode and a eating monitoring mode
  • a controller connected to the mode setting unit, configured to control the operation of the statistical unit when the test mode is set, the comparison unit does not work, and when the food monitoring mode is set, the comparison unit is controlled to work.
  • the statistical unit does not work.
  • the user's eating speed is not judged and alarmed, only the eating frequency is recorded, and in the eating monitoring mode, the user's eating speed is judged and alarmed.
  • the wearable device may further include:
  • a frequency setting unit configured to provide a frequency setting interface, so that a user sets the reference frequency
  • a memory connected to the frequency setting unit for storing the reference frequency.
  • the wearable device in the embodiment of the present disclosure only needs to work when the user is eating, and performs food feeding monitoring. Therefore, as shown in FIG. 9 , the wearable device may include:
  • control switch for generating an enable signal under operation of the user and capable of generating a shutdown signal under operation of the user
  • a power supply unit configured to: after receiving the open signal, power on each functional module for eating monitoring in the wearable device, and after receiving the shutdown signal, use in the wearable device
  • the function modules of the food monitoring are powered off. Thereby, the power of the wearable device can be effectively saved, and false alarms can be prevented.
  • the wearable device in the above embodiment can monitor the user's eating speed. It can be understood that the total amount of food consumed per meal also affects the gastrointestinal health of the user. Therefore, optionally, as shown in FIG.
  • the wearable device of the embodiment may further include:
  • a counter connected to the processing unit, configured to count the total number of times the user eats after power-on, and generate a second alarm signal when the total number of foods exceeds a predetermined threshold
  • the alarm is further configured to perform an alarm after receiving the second alarm signal, and the alarm mode adopted by the alarm device after receiving the second alarm signal is after receiving the first alarm signal
  • the alarm method used is different. For example, when eating too fast, a "beep" sound alarm is used, and when eating too much, a "drip" sound alarm is used.
  • FIG. 4 is a schematic structural diagram of a wearable device according to Embodiment 2 of the present disclosure.
  • the wearable device of the embodiment of the present disclosure includes: an acceleration sensor, an amplification filter, an analog-to-digital converter, a micro control unit (MCU), Random access memory, digital to analog converter, alarm and display unit.
  • MCU micro control unit
  • the acceleration sensor has the same function as the acceleration sensor in the above embodiment, and is configured to collect acceleration information of the user's arm and convert the acceleration information into an analog electrical signal;
  • the amplification filter is coupled to the acceleration sensor for receiving analog telecommunications
  • the number is amplified and filtered.
  • the analog-to-digital converter is connected to the amplification filter and configured to convert the amplified analog signal amplified by the amplification filter into a digital signal;
  • the micro control unit performs the functions performed by the processing unit and the comparison unit in the above embodiment, for counting the number of times the user eats within a predetermined time period according to the digital signal (acceleration information); and performing the eating frequency and the reference frequency Comparing, when comparing the eating frequency to be greater than or equal to the reference frequency, generating a first alarm signal.
  • the random access memory is connected to the micro control unit for storing the reference frequency.
  • the digital-to-analog converter is connected to the micro control unit for converting a user's eating frequency into an analog signal and transmitting the signal to the display unit;
  • the display unit is connected to the digital-to-analog converter for displaying the eating frequency
  • the alarm device performs the function performed by the alarm device in the above embodiment, and is connected to the micro control unit for performing an alarm according to the first alarm signal.
  • the present disclosure further provides a food monitoring method applied to the above wearable device, the method comprising:
  • Step S51 collecting acceleration information of the user's arm
  • Step S52 According to the acceleration information, count the number of times the user eats within a predetermined time period, and obtain the eating frequency of the user;
  • Step S53 comparing the eating frequency with a reference frequency, and when comparing the eating frequency to be greater than or equal to the reference frequency, generating a first alarm signal;
  • Step S54 Perform an alarm after receiving the first alarm signal.
  • FIG. 6 is a schematic flowchart diagram of a method for converting acceleration information into a number of eating times according to an embodiment of the present disclosure.
  • the method includes the following steps:
  • Step S61 setting a count flag bit and an enable flag bit. When initializing, the count flag bit is 0;
  • Step S62 If an acceleration signal is entered, the enable flag is 1, the signal is turned off, and the enable flag is 0;
  • Step S63 The acceleration information in the vertical direction is cyclically compared to find the maximum value and the minimum value; the acceleration information in the horizontal direction is cyclically compared to find the maximum value and the minimum value.
  • Step S64 The count flag is incremented by one.
  • Step S65 It is judged whether the enable flag is 1, and if it is 1, the process returns to step S63 until the enable flag is 0. Otherwise, step S66 is performed.
  • Step S66 The value of the count flag is the number of times of eating.
  • FIG. 7 is a schematic flowchart diagram of a method for calculating a meal frequency according to an embodiment of the present disclosure.
  • the method includes the following steps:
  • Step S71 setting a time counting bit. When initializing, the time counting bit is 0.
  • Step S72 As the clock edge arrives, the time count bit is incremented by one on each rising edge (eg, each rising edge represents 1S).
  • Step S73 It is judged whether the value of the time counting bit is equal to the preset threshold, and if so, steps S74 and S75 are performed; otherwise, step S72 is continued.
  • step S74 the time count bit is cleared.
  • step S75 the number of meals is divided by the time to obtain the eating frequency.
  • FIG. 8 is a schematic flowchart diagram of a method for calculating a reference frequency according to an embodiment of the present disclosure.
  • the method includes the following steps:
  • Step S81 input a test period, and assign the value to reg;
  • Step S82 counting the reg time by the timing system
  • Step S83 obtaining the eating frequency and the total number of meals in the time range
  • Step S84 obtaining an average eating frequency.

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Abstract

一种可穿戴设备及进食监控方法，该可穿戴设备能够佩戴于用户手臂上，包括：加速度传感器，用于采集用户手臂的加速度信息；处理单元，与该加速度传感器连接，用于根据加速度信息统计预定时长内用户的进食次数，得到用户的进食频率；比较单元，与该处理单元连接，用于将该进食频率与基准频率进行比较，当比较出该进食频率大于或等于基准频率时生成第一报警信号；报警器，与该比较单元连接，用于在接收到该第一报警信号后进行报警。

Description

一种可穿戴设备及进食监控方法
相关申请的交叉引用
本申请主张在2015年6月3日在中国提交的中国专利申请号No.201510300296.3的优先权，其全部内容通过引用包含于此。
技术领域
本公开涉及可穿戴设备，尤其以及一种可穿戴设备及进食监控方法。
背景技术
胃肠疾病是一种很常见的病症，尤其在生活节奏很快的大中城市，胃病的发病率很高。导致胃病的因素有很多，其中进食的速度过快，是一个比较常见的因素。因此，如何有效监控就餐者的进食速度，成为亟待解决的技术问题。
发明内容
有鉴于此，本公开提供一种可穿戴设备及进食监控方法，能够有效监控就餐者的进食频率，并在就餐者进食过快时进行提醒。
为解决上述技术问题，本公开提供一种可穿戴设备，包括：
加速度传感器，用于采集用户手臂的加速度信息；
处理单元，与所述加速度传感器连接，用于根据所述加速度信息统计预定时长内用户的进食次数，得到用户的进食频率；
比较单元，与所述处理单元连接，用于将所述进食频率与基准频率进行比较，当比较出所述进食频率大于或等于所述基准频率时，生成第一报警信号；
报警器，与所述比较单元连接，用于在接收到所述第一报警信号后进行报警。
可选地，所述可穿戴设备还包括：
显示单元，与所述比较单元连接，用于在接收到所述第一报警信号后显 示用户的进食频率。
可选地，所述可穿戴设备还包括：
统计单元，与所述处理单元连接，用于统计预定测试周期内用户的平均进食频率，并将所述平均进食频率作为所述基准频率；
存储器，与所述统计单元连接，用于存储所述基准频率。
可选地，所述可穿戴设备还包括：
模式设置单元，用于设定测试模式和进食监控模式；
控制器，与所述模式设置单元连接，用于当设定测试模式时控制所述统计单元工作，所述比较单元不工作，当设定进食监控模式时，控制所述比较单元工作，所述统计单元不工作。
可选地，所述可穿戴设备还包括：
频率设置单元，用于提供频率设置界面以使得用户设置所述基准频率；
存储器，与所述频率设置单元连接，用于存储所述基准频率。
可选地，所述可穿戴设备还包括：
控制开关，用于在用户的操作下，产生一开启信号，并能够在用户的操作下，产生一关闭信号；
电源单元，与所述控制开关、加速度传感器、处理单元和报警器连接，用于在接收到所述开启信号后，对所述加速度传感器、所述处理单元和所述报警器上电，在接收到所述关闭信号后，对所述加速度传感器、所述处理单元和所述报警器断电。
可选地，所述可穿戴设备还包括：
计数器，与所述处理单元连接，用于在上电后，对用户的总进食次数进行统计，当所述总进食次数超出预定阈值时生成第二报警信号；
所述报警器，还用于在接收到所述第二报警信号后进行报警，所述报警器在接收到所述第二报警信号后采用的报警方式与在接收到所述第一报警信号后采用的报警方式不同。
可选地，所述报警器为震动报警器、声音报警器、警示灯或显示单元。
可选地，所述可穿戴设备为手环。
本公开还提供一种进食监控方法，应用于上述可穿戴设备，所述方法包 括：
采集用户手臂的加速度信息；
根据所述加速度信息统计预定时长内用户的进食次数，得到用户的进食频率；
将所述进食频率与基准频率进行比较，当比较出所述进食频率大于或等于所述基准频率时生成第一报警信号；
在接收到所述第一报警信号后进行报警。
本公开还提供一种可穿戴设备，能够佩戴于用户手臂上，包括：加速度传感器、放大滤波器、模数转换器、微控制单元、随机存储器、数模转换器、报警器和显示单元；
其中，所述加速度传感器，用于采集用户手臂的加速度信息，并将所述加速度信息转换为模拟电信号；
所述放大滤波器，与所述加速度传感器连接，用于对接收到的模拟电信号进行放大滤波处理；
所述模数转换器，与所述放大滤波器连接，用于将所述放大滤波器放大滤波后的模拟电信号转换为数字信号；
所述微控制单元，用于根据所述数字信号统计预定时长内用户的进食次数得到用户的进食频率；将所述进食频率与基准频率进行比较，当比较出所述进食频率大于或等于所述基准频率时，生成第一报警信号。
所述随机存储器，与所述微控制单元连接，用于存储所述基准频率。
所述数模转换器，与所述微控制单元连接，用于将用户的进食频率转换为模拟信号，并发送给所述显示单元；
所述显示单元，与所述数模转换器连接，用于显示所述进食频率；
所述报警器，与所述微控制单元连接，用于根据所述第一报警信号进行报警。
本公开的上述技术方案的有益效果如下：
通过采集并分析用户手臂的加速度信息，统计预定时长内用户的进食次数，得到用户的进食频率，通过用户的进食频率判断用户是否进食过快，当进食过快时进行报警，及时提醒用户调整进食速度，预防肠胃疾病的发生。
附图说明
图1为就餐者进食时手臂的摆动状态示意图；
图2为就餐者进食时手臂摆动时加速度的变化示意图；
图3为本公开实施例一的可穿戴设备的结构框图；
图4为本公开实施例二的可穿戴设备的结构框图；
图5为本公开实施例的进食监控方法的流程示意图；
图6为本公开一实施例的将加速度信息转换为进食次数的转换方法的流程示意图；
图7为本公开一实施例的进餐频率的计算方法的流程示意图；
图8为本公开一实施例的基准频率的计算方法的流程示意图；
图9为本公开一实施例的可穿戴设备的结构框图。
具体实施方式
请参考图1，图1为就餐者进食时手臂的摆动状态示意图，从图1中可以看出，就餐者在进食时，手臂的摆动范围大致为1/4圆周。手臂在摆动时加速度为发生变化。
请参考图2，图2为就餐者进食时手臂摆动时加速度的变化示意图。图2(1)是手臂向上摆动时产生的加速度的变化，从图2(1)中可以看出，手臂向上摆动时，会产生一个垂直方向的加速度(a1)，随着手臂向上摆动，垂直方向的加速度也随之变化(a2)，到达顶点后垂直方向的加速度为0。图2(2)是手臂向下摆动时产生的加速度的变化，从图2(2)中可以看出，手臂向下摆动时，会产生一个水平方向的加速度(a3)，随着手臂向下摆动，水平方向的加速度也随之变化(a4)，到达水平位置后水平方向的加速度为0。
本公开中，可以通过加速度传感器采集用户(即就餐者)手臂的加速度信息，由于不同的加速度变化可以绘制不同的正弦曲线，当垂直方向存在一个波峰到波谷的变化，水平方向存在一个波峰到波谷的变化时，可视为就餐者完成一次进食，即，可以通过统计加速度的变化，统计就餐者的进食次数。并，统计单位时间内就餐者的进食次数，得到就餐者的进食频率，通过将就餐者的进食频率与一基准频率比较，可以判定就餐者是否进食过快，当进食 过快时进行报警，及时提醒就餐者调整进食速度，预防肠胃疾病的发生。
下面将结合附图和实施例，对本公开的具体实施方式作进一步详细描述。以下实施例用于说明本公开，但不用来限制本公开的范围。
请参考图3，本公开实施例提供一种可穿戴设备，能够佩戴于用户手臂上，所述可穿戴设备包括：
加速度传感器，用于采集用户手臂的加速度信息；
处理单元，与所述加速度传感器连接，用于根据所述加速度信息统计预定时长内用户的进食次数，即进食频率；
比较单元，与所述处理单元连接，用于将所述进食频率与基准频率进行比较，当比较出所述进食频率大于或等于所述基准频率时，生成第一报警信号；
报警器，与所述比较单元连接，用于在接收到所述第一报警信号后进行报警。
通过本公开实施例的可穿戴设备，通过采集并分析用户手臂的加速度信息，统计预定时长内用户的进食次数，得到用户的进食频率，通过用户的进食频率判断用户是否进食过快，当进食过快时进行报警，及时提醒用户调整进食速度，预防肠胃疾病的发生。
本公开实施例的加速度传感器可以采集水平方向和垂直方向的加速度的信息，并传送给处理单元，处理单元分析水平方向和垂直方向加速度的变化，当垂直方向的加速度存在一个波峰到波谷的变化，水平方向的加速度存在一个波峰到波谷的变化时，记录为完成一次进食。并，统计预定时长(例如30秒)内用户的进食次数，得到一进食频率，该进食频率可以表示为“每30秒进食8次”，或者为直接计算得到的频率的数值“0.27次/秒”。
本公开实施例的比较单元将用户当前的进食频率与一基准频率进行比较，该基准频率可以表示为“每30秒进食5次”，具体比较时，只比较进食次数(例如比较8和5)即可；该基准频率也可以表示为“0.17次/秒”，具体比较时，比较频率的数值(例如0.27和0.17)。当比较出所述进食频率大于或等于所述基准频率时，生成第一报警信号。
本公开实施例的报警器可以采用震动报警器、声音报警器、警示灯等方 式进行报警。
可选地，本公开实施例的可穿戴设备还可以包括一显示单元，与所述比较单元连接，用于在接收到所述第一报警信号后显示用户的进食频率。可选地，显示的进食频率信息可以为“当前进食频率为每30秒进食8次”等内容，以便于用户观看到该进食频率信息后，可以作为参考调整进食速度。另外，所述显示单元也可以作为报警器进行报警，例如闪烁显示“进食速度过快”等内容，以便于用户发现。
本公开实施例的可穿戴设备可以为一手环，或者也可以为一手表，其可以具有两种工作模式：时间显示工作模式和进食监控模式，在时间显示模式下，显示时间信息，不启动上述加速度传感器、处理单元、比较单元和报警器；在进食监控模式下，启动上述加速度传感器、处理单元、比较单元和报警器，进行进食监控。
上述基准频率可以由多种方式得到，例如：
第一种方式：在出厂之前预设该基准频率，并存储于所述可穿戴设备中。
第二种方式：由所述可穿戴设备提供一频率设置单元，如图9所示，该频率设置单元可提供一频率设置界面以使得用户设置该基准频率。
第三种方式：由所述可穿戴设备对用户预定测试周期(例如一周或一个月)内的进餐频率进行统计，将预定测试周期内的平均进餐频率作为该基准频率。
当采用第三种方式时，可选地，如图9所示，所述可穿戴设备还可以包括：
统计单元，与所述处理单元连接，用于统计预定测试周期内用户的平均进食频率，并将所述平均进食频率作为所述基准频率；
存储器，与所述统计单元连接，用于存储所述基准频率。
进一步可选地，如图9所示，所述可穿戴设备还可以包括：
模式设置单元，用于设定测试模式和进食监控模式；
控制器，与所述模式设置单元连接，用于当设定测试模式时，控制所述统计单元工作，所述比较单元不工作，当设定进食监控模式时，控制所述比较单元工作，所述统计单元不工作。
也就是说，在预定测试周期内，并不对用户的进食快慢进行判断并报警，仅记录进食频率，在进食监控模式下，才对用户的进食快慢进行判断并报警。
当采用第二种方式时，可选地，如图9所示，所述可穿戴设备还可以包括：
频率设置单元，用于提供频率设置界面以使得用户设置所述基准频率；
存储器，与所述频率设置单元连接，用于存储所述基准频率。
本公开实施例中的可穿戴设备只有在用户进餐时才需要工作，进行进食监控，因此，可选地，如图9所示，所述可穿戴设备可以包括：
控制开关，用于在用户的操作下，产生一开启信号，并能够在用户的操作下，产生一关闭信号；
电源单元，用于在接收到所述开启信号后，对所述可穿戴设备中的用于进食监控的各功能模块上电，在接收到所述关闭信号后，对述可穿戴设备中的用于进食监控的各功能模块断电。从而，可以有效节省可穿戴设备的电能，且可防止误报警。
上述实施例中的可穿戴设备可以对用户的进食快慢进行监控，可以理解的是，每餐进食的总量也会影响用户的肠胃健康，因此，可选地，如图9所示，本公开实施例的可穿戴设备还可以包括：
计数器，与所述处理单元连接，用于在上电后，对用户的总进食次数进行统计，当所述总进食次数超出预定阈值时，生成第二报警信号；
所述报警器，还用于在接收到所述第二报警信号后进行报警，所述报警器在接收到所述第二报警信号后采用的报警方式与在接收到所述第一报警信号后采用的报警方式不同。例如，进食过快时采用“嘟嘟”声报警，而进食过多采用“滴滴”声报警。
请参考图4，图4为本公开实施例二的可穿戴设备的结构示意图，本公开实施例的可穿戴设备包括：加速度传感器、放大滤波器、模数转换器、微控制单元(MCU)、随机存储器、数模转换器、报警器和显示单元。
其中，所述加速度传感器与上述实施例中的加速度传感器的功能相同，用于采集用户手臂的加速度信息，并将加速度信息转换为模拟电信号；
所述放大滤波器，与所述加速度传感器连接，用于对接收到的模拟电信 号进行放大滤波处理。
所述模数转换器，与所述放大滤波器连接，用于将放大滤波器放大滤波后的模拟电信号转换为数字信号；
所述微控制单元，执行上述实施例中的处理单元和比较单元执行的功能，用于根据所述数字信号(加速度信息)统计预定时长内用户的进食次数；将所述进食频率与基准频率进行比较，当比较出所述进食频率大于或等于所述基准频率时，生成第一报警信号。
所述随机存储器，与所述微控制单元连接，用于存储所述基准频率。
所述数模转换器，与所述微控制单元连接，用于将用户的进食频率转换为模拟信号，并发送给所述显示单元；
所述显示单元，与所述数模转换器连接，用于显示所述进食频率；
所述报警器，执行上述实施例中的报警器执行的功能，与所述微控制单元连接，用于根据所述第一报警信号进行报警。
请参考图5，本公开还提供一种进食监控方法，应用于上述可穿戴设备，所述方法包括：
步骤S51：采集用户手臂的加速度信息；
步骤S52：根据所述加速度信息，统计预定时长内用户的进食次数，得到用户的进食频率；
步骤S53：将所述进食频率与基准频率进行比较，当比较出所述进食频率大于或等于所述基准频率时，生成第一报警信号；
步骤S54：在接收到所述第一报警信号后进行报警。
请参考图6，图6为本公开一实施例的将加速度信息转换为进食次数的转换方法的流程示意图。
所述方法包括以下步骤：
步骤S61：设置一计数标志位和使能标志位，初始化时，计数标志位为0；
步骤S62：有加速度信号进入，则使能标志位为1，信号截止，使能标志位为0；
步骤S63：将竖直方向的加速度信息循环比较，找出最大值和最小值；将水平方向的加速度信息循环比较，找出最大值最小值。
步骤S64：将计数标志位加1。
步骤S65：判断使能标志位是否为1，如为1，返回步骤S63，直到使能标志位为0，否则，执行步骤S66。
步骤S66：计数标志位的值为进食次数。
请参考图7，图7为本公开一实施例的进餐频率的计算方法的流程示意图。
所述方法包括以下步骤：
步骤S71：设置一时间计数位，初始化时，时间计数位为0。
步骤S72：随着时钟沿的到来，在每个上升沿将时间计数位加1(例如每个上升沿代表1S)。
步骤S73：判断时间计数位的值是否等于预设阈值，如果是，执行步骤S74和S75；否则，继续执行步骤S72。
步骤S74，将时间计数位清零。
步骤S75，将进食次数除以时间得到进食频率。
请参考图8，图8为本公开一实施例的基准频率的计算方法的流程示意图。
所述方法包括以下步骤：
步骤S81：输入测试周期，将该值赋予reg；
步骤S82：由计时系统统计该reg时间；
步骤S83：得到该时间范围内的进食频率和总就餐次数；
步骤S84：得到平均进食频率。
以上所述是本公开的优选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本公开所述原理的前提下，还可以作出若干改进和润饰，这些改进和润饰也应视为本公开的保护范围。

Claims (13)

  1. 一种可穿戴设备，能够佩戴于用户手臂上，包括：
    加速度传感器，用于采集用户手臂的加速度信息；
    处理单元，与所述加速度传感器连接，用于根据所述加速度信息统计预定时长内用户的进食次数，得到用户的进食频率；
    比较单元，与所述处理单元连接，用于将所述进食频率与基准频率进行比较，当比较出所述进食频率大于或等于所述基准频率时生成第一报警信号；
    报警器，与所述比较单元连接，用于在接收到所述第一报警信号后进行报警。
  2. 根据权利要求1所述的可穿戴设备，其中，还包括：
    显示单元，与所述比较单元连接，用于在接收到所述第一报警信号后显示用户的进食频率。
  3. 根据权利要求1所述的可穿戴设备，其中，还包括：
    统计单元，与所述处理单元连接，用于统计预定测试周期内用户的平均进食频率，并将所述平均进食频率作为所述基准频率；
    存储器，与所述统计单元连接，用于存储所述基准频率。
  4. 根据权利要求3所述的可穿戴设备，其中，还包括：
    模式设置单元，用于设定测试模式和进食监控模式；
    控制器，与所述模式设置单元连接，用于当设定测试模式时，控制所述统计单元工作，所述比较单元不工作，当设定进食监控模式时，控制所述比较单元工作，所述统计单元不工作。
  5. 根据权利要求1所述的可穿戴设备，其中，还包括：
    频率设置单元，用于提供频率设置界面以使得用户设置所述基准频率；
    存储器，与所述频率设置单元连接，用于存储所述基准频率。
  6. 根据权利要求1所述的可穿戴设备，其中，还包括：
    控制开关，用于在用户的操作下产生一开启信号，并能够在用户的操作下产生一关闭信号；
    电源单元，与所述控制开关、加速度传感器、处理单元和报警器连接， 用于在接收到所述开启信号后，对所述加速度传感器、所述处理单元和所述报警器上电，在接收到所述关闭信号后，对所述加速度传感器、所述处理单元和所述报警器断电。
  7. 根据权利要求6所述的可穿戴设备，其中，还包括：
    计数器，与所述处理单元连接，用于在上电后，对用户的总进食次数进行统计，当所述总进食次数超出预定阈值时生成第二报警信号；
    所述报警器，还用于在接收到所述第二报警信号后进行报警，所述报警器在接收到所述第二报警信号后采用的报警方式与在接收到所述第一报警信号后采用的报警方式不同。
  8. 根据权利要求1所述的可穿戴设备，其中，所述报警器为震动报警器、声音报警器、警示灯或显示单元。
  9. 根据权利要求1-8任一项所述的可穿戴设备，其中，所述可穿戴设备为手环。
  10. 一种进食监控方法，应用于如权利要求1-9任一项所述的可穿戴设备，所述方法包括：
    采集用户手臂的加速度信息；
    根据所述加速度信息统计预定时长内用户的进食次数，得到用户的进食频率；
    将所述进食频率与基准频率进行比较，当比较出所述进食频率大于或等于所述基准频率时生成第一报警信号；
    在接收到所述第一报警信号后进行报警。
  11. 一种可穿戴设备，能够佩戴于用户手臂上，包括：加速度传感器、放大滤波器、模数转换器、微控制单元、随机存储器、数模转换器、报警器和显示单元；
    其中，所述加速度传感器，用于采集用户手臂的加速度信息，并将所述加速度信息转换为模拟电信号；
    所述放大滤波器，与所述加速度传感器连接，用于对接收到的模拟电信号进行放大滤波处理；
    所述模数转换器，与所述放大滤波器连接，用于将所述放大滤波器放大 滤波后的模拟电信号转换为数字信号；
    所述微控制单元，用于根据所述数字信号统计预定时长内用户的进食次数得到用户的进食频率；将所述进食频率与基准频率进行比较，当比较出所述进食频率大于或等于所述基准频率时，生成第一报警信号。
    所述随机存储器，与所述微控制单元连接，用于存储所述基准频率。
    所述数模转换器，与所述微控制单元连接，用于将用户的进食频率转换为模拟信号，并发送给所述显示单元；
    所述显示单元，与所述数模转换器连接，用于显示所述进食频率；
    所述报警器，与所述微控制单元连接，用于根据所述第一报警信号进行报警。
  12. 根据权利要求11所述的可穿戴设备，其中，所述可穿戴设备为手环。
  13. 根据权利要求11所述的可穿戴设备，其中，所述报警器为震动报警器、声音报警器、警示灯或显示单元。
PCT/CN2015/090325 2015-06-03 2015-09-23 一种可穿戴设备及进食监控方法 WO2016192251A1 (zh)

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