CN107610765A - A kind of human activity is worth monitoring method and system - Google Patents
A kind of human activity is worth monitoring method and system Download PDFInfo
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- CN107610765A CN107610765A CN201710669897.0A CN201710669897A CN107610765A CN 107610765 A CN107610765 A CN 107610765A CN 201710669897 A CN201710669897 A CN 201710669897A CN 107610765 A CN107610765 A CN 107610765A
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Abstract
The invention discloses a kind of human activity to be worth monitoring method, comprises the following steps：Collection user's body behavioral data and environmental data, Primary Assay judge behavior and the local environment of user；The data are uploaded, and the data are analyzed again, obtained result is then back to system；Energy value model is established according to the data and result；By the energy value model, the energy value score of user is calculated, so as to evaluate the vigor condition of user.The present invention also provides a kind of human activity's value monitoring system, including terminal device and data acquisition device.This programme can be from multiple dimension Comprehensive Evaluation user's energy values, and it includes the collection of the status datas such as human body, energy, mood and efficiency, analysis, and very convenient and Consumer's Experience is good.It is widely used in smart machine field.
Description
Technical field
The present invention relates to smart machine field, particularly for the method and system of body heath's monitoring.
Background technology
Existing Intelligent worn device, the collection category to user data is few, and the degree that data sense excavates behind is shallower；Such as
In running, user need learn cadence, stride, calorie consumption etc. all kinds of understandings compared with professional term, and understand after its table
The meaning shown also obscures, and function is very single, and its understanding for the integral status of user can not embody at all.
In consideration of it, it is necessary to provide assessment user itself entirety that a kind of data using a type simultaneously can be comprehensive
The scheme of situation.
The content of the invention
In order to solve the above-mentioned technical problem, can be from multiple dimension Comprehensive Evaluations, description it is an object of the invention to provide one kind
The human activity of the states such as individual human body, energy is worth the method and system of monitoring.
The technical solution adopted in the present invention is：
The present invention provides a kind of human activity and is worth monitoring method, comprises the following steps：
Collection user's body behavioral data and environmental data, Primary Assay judge behavior and the local environment of user；
The data are uploaded, and the data are analyzed again, obtained result is then back to system；
Energy value model is established according to the data and result；
By the energy value model, the energy value score of user is calculated, so as to evaluate the vigor condition of user.
As the improvement of the technical scheme, the step also includes passing through data described in collection analysis, and sends and accordingly build
View, remind.
As the improvement of the technical scheme, the step also includes by adding up to the sustainability of data, and then optimizes
User's energy value and vigor condition.
Further, the step is also included by being acquired to user's raw information, draws initial energy value.
Further, it also includes gathering and analyzes user behavior data, physiological data and physiological data, draws respective counts
According to weight.
Further, the calculation formula of the energy value is：
As weight ＞ 0, the energy value is current energy value × [current energy value × power of 1 ﹢ (the current energy values of 100-) ÷
Weight × ratio]；
As weight ＜ 0, the energy value is current energy value × (100 × weight of the current energy value ÷ of 1+ × ratio)；
Wherein, the size of the ratio is bound according to the movable severity and difficulty；The weighted value is big
It is small to be bound according to the influence degree to human body.
Further, the user behavior data is included in work/study/exercise data, mobile phone service condition data
It is at least one；
User's physiological data includes exercise data, dormant data, heart rate data, blood pressure data, blood glucose level data, body weight
At least one of data, temperature data, body fat data；
The user psychology data include the mood data of user.
On the other hand, the present invention also provides a kind of human activity's value monitoring system, including terminal device and data acquisition dress
Put, the data acquisition device is connected with the terminal device；
Wherein, the data acquisition device is used to perform step collection user's body behavioral data and environmental data；
The terminal device is used to perform behavior and local environment that step Primary Assay judges user；Upload the number
According to, and the data are analyzed again, obtained result is then back to system；Established according to the data and result
Energy value model；By the energy value model, the energy value score of user is calculated, so as to evaluate the vigor condition of user.
Further, the data acquisition device is wearable device.
The beneficial effects of the invention are as follows：Human activity provided by the invention is worth the method and system of monitoring, by user
The collections of many-sided data such as routine basis activity, cell phone active, manually opened activity, plan and the prompting of small test class, divide
Analysis, and energy value model is established, the energy value and vigor condition of user are drawn, is easy to user to understand itself, ensure that user can
Work is completed under high vigor, helps user reasonably to arrange the time, makes full use of current efficiency and energy.This programme can
From multiple dimension Comprehensive Evaluation user's energy values, it include the collections of status data such as human body, energy, mood and efficiency,
Analysis, it facilitates and improves Consumer's Experience simultaneously.
Brief description of the drawings
The embodiment of the present invention is described further below in conjunction with the accompanying drawings：
Fig. 1 is the schematic flow sheet of first embodiment of the invention；
Fig. 2 is the schematic diagram of second embodiment of the invention；
Fig. 3 is the system schematic of third embodiment of the invention.
Embodiment
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the application can phase
Mutually combination.
The present invention provides a kind of human activity and is worth monitoring method, comprises the following steps：
Collection user's body behavioral data and environmental data, Primary Assay judge behavior and the local environment of user；Pass through
Collect the initial data of user, preliminary behavior and the local environment for judging user.
Wherein, the environmental data includes weather, the temperature of surrounding enviroment, humidity, height above sea level, tide etc. residing for device；
By the collection to environmental information, it is easy to system to make corresponding suggestion and prompting etc..
By the initial analysis to data, determine the active tags of user and plan label.The behavior pattern of sorted users,
Such as motion, sleep, social, work, study etc., and the determination such as number according to behavior, time length, physiology change conditions is used
The active tags at family.Relevant plans and prompting by schedule reminder function typing, while according to the typing mode and bar of user
Part determines schedule reminder four-quadrant label, including necessary urgent, necessary not urgent, inessential not urgent, inessential urgent.
The data are uploaded, and the data are analyzed again, obtained result is then back to system；By institute
State data to upload onto the server, and be further analyzed with reference to big data.
Energy value model is established according to the data and result；
By the energy value model, the energy value score of user is calculated, so as to evaluate the vigor condition of user.Its
In, behavioral data situation of the vigor condition including people, psychologic status, emotional status etc..
As the improvement of the technical scheme, the step also includes entering the True Data of typing and existing judgement data
Row synthesis.
The step also includes by adding up to the sustainability of data, and then optimizes user's energy value and vigor condition.
Further, the step also includes gathering and analyzes user behavior data, physiological data and physiological data, draws
The weight of corresponding data.
Further, the calculation formula of the energy value is：
As weight ＞ 0, the energy value is current energy value × [current energy value × power of 1 ﹢ (the current energy values of 100-) ÷
Weight × ratio]；
As weight ＜ 0, the energy value is current energy value × (100 × weight of the current energy value ÷ of 1+ × ratio).
Wherein, the energy value of most original is acquired to obtain by three aspects：System is by giving user one
Or the small activity of multiple physical stamina tests, the data of acquisition user's physical stamina test；And some small topics are given after physical stamina test, lead to
The form for crossing question and answer understands the psychology and substantially situation of the body after physical stamina test process of user；Finally combine itself of user
Physical qualification (such as height, body weight, sex, age), is assessed, so as to obtain the energy value of an initialization.
Further, the user behavior data is included in work/study/exercise data, mobile phone service condition data
It is at least one.
Further, user's physiological data includes exercise data, dormant data, heart rate data, blood pressure data, blood glucose
At least one of data, weight data, temperature data, body fat data.
Further, the user psychology data include the mood data of user.
This programme is by occurrence (digital form), from multiple dimension Comprehensive Evaluations, description human body, energy, mood
And the state such as efficiency.It mainly relies on the editor and collection to each behavioral data of user and physiological data etc., is entered by algorithm
Row analysis, come to carry out positive or negative points (i.e. energy value) to body and energy state from multiple dimensions.
Reference picture 1, it is the energy value data source schematic flow sheet of first embodiment of the invention.
Step 1, user's initial data is collected by monitoring the event trace of user, after preliminary screening, uploads and store up
It is stored in database.
By collecting the initial data of user, after doing preliminary filtering arrangement, analysis judges the behavior of user and residing ring
Border；The data are uploaded onto the server, analysis, which stores and combines big data situation, returns to judged result.
Event trace monitors 4 class activities altogether, is respectively：Routine basis activity, cell phone active, manually opened activity, meter
Draw and remind.System carries out detailed data record to it respectively, and wherein routine basis activity has：Get up, go to toilet, washing one's face and rinsing one's mouth,
Morning exercises (non-running), morning, which read, had breakfast, going to school and leaving school ,/on and off duty, attend class/works, do some exercises (of short duration generation step number) take a walk,
Chess and card, go window-shopping, lunch, lunch break, reading, bathing, sleep, recreation；Cell phone active has phone, short message, mail, mobile phone application
Deng；The activity that user opens such as has running, rides, dives under water at the scene；Plan and prompting are mainly that system automatic spring or user are led to
Cross relevant plans and the prompting of schedule reminder function active typing.It is responsible for different event traces by different transaction processing systems
Monitoring, need to obtain corresponding data from each different vigor track when collecting a large amount of initial data.
Step 2, by the initial analysis to data, the active tags of user is determined and plan label；The data include
System detectio to and need user from primary input etc., by the True Data of typing and it is existing judgement data integrated.
The behavior pattern of sorted users, such as motion, sleep, social, work, study etc., and number according to behavior, when
Between length, physiology change conditions etc. determine the active tags of user.Relevant plans and prompting by schedule reminder function typing,
Schedule reminder four-quadrant label is determined according to the typing mode and condition of user simultaneously, including it is necessary urgent：Reminder time is set
And it is arranged to urgent；It is necessary not urgent：The date is set to be not provided with reminder time, urgency level is arranged to not urgent；It is inessential not
Promptly：It is not provided with reminder time and date, is not provided with urgency level；It is inessential urgent：Reminder time is not provided with, urgency level is set
It is set to urgent.
The prompting can be carried out by modes such as pop-up prompting, voice reminder, push prompting, vibration reminding, jingle bell promptings
Remind, so that user understands important thing or information etc. in real time.
Wherein, physiological data：Including moving, sleeping, the data such as heart rate, blood pressure, blood glucose, body weight.
1. detected by the activity to user and record is moved and dormant data.2. in physical efficiency grade plate,
Heart rate, lung capacity, sit-ups, 50 meters of races, sitting body anteflexions are tested, the physical efficiency grade of user is judged, obtains physical efficiency
Data.3. in order to allow user to understand the trend of the physiological data of itself in real time, for crowd in need, to heart rate, blood pressure,
Blood glucose, weight data are recorded.
Physiological data：Mainly collect the mood of user.User is guided to carry out same day mood by motion management assistant
Record and feedback, and carry out statistics and analysis by week, the moon, season for mood data.
Step 3, activity value model is established according to user profile, behavioural habits data.
Energy value model is a kind of framework set up by data accumulation analysis.It is to user behavior number that model, which is established,
According to being grouped, one group of data is used for establishing various models, and another group of data are used for testing the effect of various models, such as
Fruit test effect does not meet assessment and required, then needs to re-establish model or adjustment model.
Step 4, after model is established, the energy value score of user is calculated, so as to evaluate the vigor condition of user, the work
Behavioral data situation of the power situation including people, psychologic status, emotional status etc..
Due to the various actions data of user be vigor track monitoring under caused data, user can not arbitrarily change,
So can objective, truly reflect the energy value of user, can play a part of reminding user's time of day.
Reference picture 2, it is the energy value calculation process schematic diagram of second embodiment of the invention.Energy value measuring and calculating purpose be for
Keep user to complete work under high vigor, help user reasonably to arrange the time, make full use of current efficiency and essence
Power, it is therefore desirable to different types of user is divided, creates user profile labeling, and to possessing the user of same label
Statistic of classification, grade classification are carried out, to reach the purpose for providing the user more accurately business.
User's vigor condition is determined according to the vigor Value Data of user, and energy value model is believed by individual
What the data labels such as breath, habits and customs were established, the information of user data is quickly read by label, tag extraction is done from the background, gathers
Close analysis etc..As an embodiment, mainly for user be business people and motion personage:Supervised by the motion to user
Survey, activity log etc. carry out comprehensive analysis, with reference to energy value model, can divide user's vigor condition.Business people is divided into three
Grade：Common worker, Advanced Business personnel, severe business people；Motion personage can be divided into：Elementary sports type, general motion
Type, senior sports type.
The dynamic behaviour data of user include all data on user's line and under line, including active period, region, startup
Number, access duration, liveness, correlation tag click situation, collection rate etc..The data such as the personal behavior of user are considered as
It is the unique data of user's multidate information, and these data are constantly changing.In the case where data volume is little, use
Family vigor condition is to do what attribute was sorted out to user by the process screened, sort out, integrated in the case of more primary.With
Being continuously increased for data, regular processing can be carried out to data from the background, then do and such as cluster, return, association, various graders
Scheduling algorithm, when being modeled to tag extraction, polymerization analysis etc., can constantly it be optimized by the cumulative statistics analysis of big data, so as to
Provide the user more accurately energy value differentiation.
Wherein, energy value (it sets full marks 100 and divided) model formation：
As weight ＞ 0, energy value=current energy value × [current energy value × weights of 1 ﹢ (the current energy values of 100-) ÷
× ratio]；
As weight ＜ 0, energy value=current energy value × (100 × weights of the current energy value ÷ of 1+ × ratio).
Wherein, the size of the ratio is bound according to the movable severity and difficulty；The weighted value
Size is bound according to influence degree to human body etc., such as contributes to lifting vigor, then on the occasion of；According to the fierce journey of motion
Influence to body etc. is spent, different weights can be divided into.
It is that energy value associated weight, the ratio equal distribution of an embodiment are illustrated with reference to table 1.
Table 1
Weight such as sleep state in table is+10%, when ratio is 20%, energy value=current energy value × [1 ﹢ (100-
Current energy value) current energy value × 10% × 20% of ÷]；
The weight of mobile phone service condition is -5%, when ratio is 10%, energy value=current energy value × (current vigor of 1+
Value ÷ 100 × 5% × 10%)；
The energy value related data can refresh energy value in real time, and APP is in running background, the storage frequency of backstage energy value
Rate is 1 hour, and the frequency is default frequency, and the open and close of all kinds of scenes, can be uploaded onto the server in real time at the end simultaneously
Refresh.
Step 5, the sustainability of data is accumulative can optimize energy value and user's portrait.
According to the long-term use of sustainable optimization user portrait of user, increase more attributes, it is sustainable excellent according to personal considerations
Change fixed plus-minus value and variable.
Each different phase, the data dimension for forming user's portrait can be different, user gradation portrait (vigor condition)
It is a dynamic process.Optimization user's vigor condition refers in the basis division of user's static information data, passes through user
The information dimension that the continuous iteration supplement of multidate information is omitted, the related data of similar crowd is calculated using correlation rule, with reference to
The change of past representation data and following representation data, the excavation of data correlation is done to user.Used so as to progressively reach target
Family behavior becomes more meticulous, and realizes that precision is marketed.
As a specific embodiment, system carries out the foundation of user profile/portrait, such as name first：Zhang, age：29,
Sex：Man, attribute：XX Science and Technology Ltd.s business manager；Other descriptions：It is engaged in commercial class to work 5 years, there is certain human connection, notes
Weight operating efficiency, often it can be talked with client, self-image, health are relatively concerned about etc..
Then user's initial data is stored to database, the data include：
1st, basic data
Sex：Man
Height：175cm
Body weight：60kg
Date of birth：On August 4th, 1988
2nd, physical efficiency data
Heart rate：77bpm
Lung capacity：4000ML
Chin-up：16/minute
Sit-ups：50/minute
Sitting body anteflexion：7.2cm
3rd, current energy data
System carries out some related question and answer, and such as the adjective of the current manager's state of user is selected, including energetic, tired
Exhausted to can't bear, be careless etc., user is selected its truth；
And to meeting the adjectival selection of user's current operating efficiency, including get twice the result with half the effort, get half the result with twice the effort；It is also
Include the selection of user's current mood：Upset, seek pleasure in order to free oneself from care, be calm etc..
To sum up, so as to the analysis of system of users situation progress preliminary data：
Basal metabolic rate, BMI, body fat rate are such as obtained by basic data；Physical efficiency grade is obtained by physical efficiency data analysis；By asking
Volume test obtains current energy situation；
Composite basis data model, physical efficiency data model and current energy situation, system tentatively obtain the initial live of user
Force value：90.
By the collection to Activities in a some day and time etc., according to energy value model and the behavioural habits of user
Real-time energy value is calculated, behavioural habits and the corresponding vigor Distribution value for obtaining a some day are as shown in table 2 below：
Table 2
As can be seen from Table 2, comparatively, highest during operating efficiency of the Zhang in the morning is one day；Its afternoon combines
Appropriate rest, efficiency have the lifting of short time, and the operating efficiency in evening is relatively low；Therefore, system can suggest that user will be urgent etc.
Important and complex transaction is solved in the morning；It can arrange to handle in the afternoon without the urgent work such as simple, inessential.
System obtains corresponding energy value by being acquired, analyzing by the information of user daily；Pass through the note of a period of time
Record, the information dimension omitted can be supplemented to the continuous iteration of user's multidate information progress, and be calculated together using correlation rule
The related data of class crowd, with reference to the change of past representation data and following representation data, the digging of data correlation is done to user
Pick；On the one hand, the time that individual consumer understands own situation, reasonable arrangement work and study and amusement and leisure is not only facilitated, is carried
Its high efficiency；On the other hand, background system is contributed to carry out the integration of multigroup volume data, so as to progressively reach targeted customer's behavior
Become more meticulous, realize that precision is marketed.
On the other hand, the present invention also provides a kind of human activity's value monitoring system, including terminal device and data acquisition dress
Put, the data acquisition device is connected with the terminal device；
Wherein, the data acquisition device is used to perform step collection user's body behavioral data and environmental data；
The terminal device is used to perform behavior and local environment that step Primary Assay judges user；Upload the number
According to, and the data are analyzed again, obtained result is then back to system；Established according to the data and result
Energy value model；By the energy value model, the energy value score of user is calculated, so as to evaluate the vigor condition of user.
Further, the data acquisition device is wearable device.Such as Intelligent bracelet, intelligent watch.
Reference picture 3, it is the system schematic of third embodiment of the invention.As the embodiment of this programme one, the system bag
Intelligent watch/bracelet and intelligent terminal are included, it is right using APP ends and wrist-watch/main source of the bracelet end as Data Collection
The physiological datas such as motion, sleep, heart rate, blood pressure, blood glucose, body weight, mood and physiological data are classified arrangement, and pass through
APP prompting function, the part behavior to user judges, while guides user to record correlated activation behavior.
Background system is the holder of big data, includes user's physiological data, user psychology data, personal behavior number
According to, the mass data module including individual environment data, personal information and history, analyzed from the background by these data aggregates, point
User Status, psychology are not scored from above four dimensions.The score-system synthesis of various dimensions constructs energy value calculating
System, after to user integrate by energy value model and judging, for the current psychology of user and physiological status, provide the user
Rational suggestion and reminder.Backstage proposes corresponding opinions and suggestions to interfere the behavior of user, purpose by APP ends to user
It is to keep user to complete all kinds of matters under high vigor and efficiency, helps user reasonably to arrange the time, make full use of
Current efficiency and energy.
Human activity provided by the invention is worth the method and system of monitoring, by being lived to the activity of user's routine basis, mobile phone
Collection, the analysis of many-sided data such as dynamic, manually opened activity, plan and the prompting of small test class, and energy value model is established,
The energy value and its vigor condition of user is drawn, is easy to user to understand itself, ensure that user can complete work under high vigor
Make, help user reasonably to arrange the time, make full use of current efficiency and energy.This programme can be from multiple dimension Comprehensive Evaluations
User's energy value, it includes the collection of the status datas such as human body, energy, mood and efficiency, analysis, very convenient, and uses
Experience at family.
Above is the preferable implementation to the present invention is illustrated, but the invention is not limited to the implementation
Example, those skilled in the art can also make a variety of equivalent variations on the premise of without prejudice to spirit of the invention or replace
Change, these equivalent deformations or replacement are all contained in the application claim limited range.
Claims (9)
1. a kind of human activity is worth monitoring method, it is characterised in that comprises the following steps：
Collection user's body behavioral data and environmental data, Primary Assay judge behavior and the local environment of user；
The data are uploaded, and the data are analyzed again, obtained result is then back to system；
Energy value model is established according to the data and result；
By the energy value model, the energy value score of user is calculated, so as to evaluate the vigor condition of user.
2. human activity according to claim 1 is worth monitoring method, it is characterised in that：The step also includes passing through collection
The data are analyzed, and sends corresponding suggestion, remind.
3. human activity according to claim 1 or 2 is worth monitoring method, it is characterised in that：The step also includes passing through
The sustainability of data is added up, and then optimizes user's energy value and vigor condition.
4. human activity according to claim 3 is worth monitoring method, it is characterised in that：The step also include by
Family raw information is acquired, and draws initial energy value.
5. human activity according to claim 4 is worth monitoring method, it is characterised in that：It also includes gathering and analyzing user
Behavioral data, physiological data and physiological data, draw the weight of corresponding data.
6. human activity according to claim 5 is worth monitoring method, it is characterised in that the calculation formula of the energy value
For：
As weight ＞ 0, the energy value be current energy value × [the current energy value × weights of 1 ﹢ (the current energy values of 100-) ÷ ×
Ratio]；
As weight ＜ 0, the energy value is current energy value × (100 × weight of the current energy value ÷ of 1+ × ratio)；
Wherein, the size of the ratio is bound according to the movable severity and difficulty；The weighted value size is pressed
It is bound according to the influence degree to human body.
7. human activity according to claim 5 is worth monitoring method, it is characterised in that the user behavior data includes work
At least one of work/study/exercise data, mobile phone service condition data；
User's physiological data includes exercise data, dormant data, heart rate data, blood pressure data, blood glucose level data, body weight number
According to, at least one of temperature data, body fat data；
The user psychology data include the mood data of user.
8. a kind of human activity is worth monitoring system, it is characterised in that including terminal device and data acquisition device, the data are adopted
Acquisition means are connected with the terminal device；
Wherein, the data acquisition device is used to perform step collection user's body behavioral data and environmental data；
The terminal device is used to perform behavior and local environment that step Primary Assay judges user；The data are uploaded, and
The data are analyzed again, obtained result is then back to system；Vigor is established according to the data and result
It is worth model；By the energy value model, the energy value score of user is calculated, so as to evaluate the vigor condition of user.
9. human activity according to claim 8 is worth monitoring system, it is characterised in that the data acquisition device is to wear
Wear equipment.
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| CN108881157B (en) * | 2018-05-04 | 2021-01-22 | 国家计算机网络与信息安全管理中心 | Personal information safety capability evaluation method and system based on PC terminal behaviors |
| CN108881157A (en) * | 2018-05-04 | 2018-11-23 | 国家计算机网络与信息安全管理中心 | A kind of individual information security capabilities evaluation method and system based on PC terminal behavior |
| CN109360629A (en) * | 2018-09-30 | 2019-02-19 | 深圳个人数据管理服务有限公司 | Emotional prediction method, apparatus, equipment and storage medium based on machine learning |
| CN109447324A (en) * | 2018-09-30 | 2019-03-08 | 深圳个人数据管理服务有限公司 | Behavioral activity prediction technique, device, equipment and emotional prediction method |
| CN110881988A (en) * | 2019-12-05 | 2020-03-17 | 北京发光如星文化传播有限公司 | Method, apparatus, device and medium for energy detection |
| CN110881988B (en) * | 2019-12-05 | 2022-06-21 | 北京发光如星文化传播有限公司 | Method, apparatus, device and medium for energy detection |
| CN111134642A (en) * | 2020-01-16 | 2020-05-12 | 焦作大学 | Household health monitoring system based on computer |
| CN111276249A (en) * | 2020-01-20 | 2020-06-12 | 李祥臣 | Human behavior activity degree measuring method and system based on human behavior information entropy |
| CN111276249B (en) * | 2020-01-20 | 2024-03-15 | 李祥臣 | Human behavior activity degree measuring method and system based on human behavior information entropy |
| CN113520395A (en) * | 2021-07-15 | 2021-10-22 | 北京心驰智途科技有限公司 | Real-time mental state assessment system and method |
| CN114288629A (en) * | 2021-12-08 | 2022-04-08 | 广东技术师范大学 | Physical ability information acquisition and analysis system and method based on big data |
| CN114288629B (en) * | 2021-12-08 | 2022-11-15 | 广东技术师范大学 | Physical ability information acquisition and analysis system and method based on big data |
| CN115268531A (en) * | 2022-07-29 | 2022-11-01 | 九江市艾帕智能科技有限公司 | Water flow temperature regulation control method, device, equipment and storage medium for intelligent bathtub |
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