Design and Development of a Smart Healthcare Cup Fang Rouli HCI - - PowerPoint PPT Presentation

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design and development of a smart healthcare cup
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Design and Development of a Smart Healthcare Cup Fang Rouli HCI - - PowerPoint PPT Presentation

Mar 05, 2024 34 likes •437 views

EEE06 Design and Development of a Smart Healthcare Cup Fang Rouli HCI 18S6A Background Information Background Information Smart devices have become necessary. There have been products monitoring liquid intake. However, they

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Design and Development of a Smart Healthcare Cup

Fang Rouli HCI 18S6A

EEE06

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Background Information

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Background Information

  • Smart devices have become necessary.
  • There have been products monitoring liquid intake.
  • However, they can only sense the temperature or record the volume of

water.

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Background Information

  • Caffeinism & Alcoholism
  • Caffeinism : headache, nervousness and insomnia ; serious

health issues.

  • Alcoholism : mental and physical health problems, even death.
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Objective

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Aims & Objectives

  • Counting water intake
  • Counting caffeine intake
  • Counting alcohol intake
  • Giving feedback on drinking
  • Setting medicine-taking

reminder

  • Not only for the caffeine or

alcohol addictive, but also for common people who are concerned about this problem.

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Materials

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Materials

  • Arduino UNO Board and USB

cable

  • MQ3 ethanol sensor
  • DS18B20 temperature sensor
  • HY-SRF05 ultrasonic distance

sensor

  • Wires
  • Breadboard
  • Computer ( MAC OS)
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Digital controller & Code operator

  • Arduino
  • Python 3.6
  • Microsoft Excel
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Design

Caffeine counting Alcohol counting Feedback function Reminder function Water counting Temperature sensing

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Methodology

Part I : Water Counting

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Methodology - water counting

  • HY-SRF05 ultrasonic distance sensor
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Methodology - water counting

Arduino code will take the time interval between the sending and receiving ultrasonic waves and calculate distance.

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Methodology - water counting

  • The effect of angle of reflection is neglected.
  • Total volume of the cup is input manually at the start.
  • The Python code will calculate the volume of liquid and

store it into a text file.

  • The shape of the cup is considered column.
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Methodology

Part II : Caffeine Counting

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Methodology - caffeine counting

  • As an organic solute, liquid chromatography is commonly

used to detect the presence of caffeine.

  • it is impossible to directly measure the amount of caffeine
  • f the drink in the cup with present sensors, while still let

the liquid in the cup edible.

  • A code in the Python interface is set up for the cup.
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Caffeine concentration in different type of drinks (Mayo Clinic)

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Methodology - caffeine counting

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Methodology

Part III : Temperature Sensing

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Methodology - temperature sensing

  • DS18B20 temperature

sensor

  • Arduino code: take 5

readings with 0.1s time interval

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Methodology - temperature sensing

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Hypotheses

  • There is correlation between

temperature, the concentration

  • f alcohol in the liquid, and the

concentration of alcohol in the air above the liquid.

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Methodology

Part IV : Alcohol Counting

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Methodology - alcohol counting

  • MQ3 ethanol sensor
  • Experiment settings
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Methodology - alcohol counting

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Methodology - alcohol counting

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Methodology - alcohol counting

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Methodology - alcohol counting

  • Experiment limitations:

○ Ratio of liquid volume against the cup’s volume is not included as a variable. ○ The time duration between pouring the liquid and taking measurement is not included as a variable. ○ The temperature range selected is small, reducing the reliability of the result.

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Methodology

Part V : Feedback Function

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Methodology - feedback function

  • Retrieve data stored in the text file
  • Compare to actual standard of adult liquid intake (Mayo

Clinic)

  • Guide users to drink healthily

Data Sample

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Methodology

Part VI : Reminder Function

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Methodology - reminder function

  • Time library

○ make time manipulatable

  • Threading library

○ keep function running as other functions are called

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Methodology - reminder function

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Results Conclusion Future Work

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Results & Conclusion

  • Fully functioning smart device
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Results & Conclusion

  • Fully functioning smart device.
  • Choice of sensors and accuracy of measurements are

limited to reduce cost and unnecessary calculation.

  • Emphasize on the ingredients in the liquid and giving apt

guidance for users to drink healthily.

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Future Improvements

  • Add bluetooth function to be wireless.
  • Downsize the hardware to make it more practical.
  • Conduct more validation on the accuracy of the sensors,

and more tests on how long they can keep working for.

  • Transfer the program into mobile app in GUI
  • Add function of sugar and calorie counting
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Thank you for listening!