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App screen information
Top Logo: SIG
Page Title: Statistics
Tab: Week-by-week (selected) | Monthly
Graph 1: Heart rate
Day of the week axis: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, and Sunday
Y-axis values: 50, 60, 70, 80
Legend: Heart rate
(Red line graph - modest fluctuations after Tuesday's surge)
Graph 2: Humidity
Day of the week axis: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, and Sunday
Y-axis values: 28, 32, 36
Legend: Humidity
(Blue Bending Line Graph - Decline After Decline On Mid-Day And Up)
Graph 3: Temperature
Day of the week axis: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, and Sunday
Y-axis value: 24
Legend: Temperature
(Red Data Point)
Graph 4: Number of bed leaves
Day of the week axis: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, and Sunday
Y-axis values: 4, 18, 22, 26, 30
Legend: Number of bed breaks
(Red line graph - plunges after Monday's high (30))
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Sleep IoT App

The Sig Corporation application project was developed to help users review their sleep condition based on data measured by sleep-related IoT devices and receive information for improving sleep quality.


In this project, DevFive built the service connected to Sig Corporation’s sleep measurement device as an app using WebAppFactory. The app flow and screen structure were designed so users could review sleep data collected from the device and understand their sleep status through statistics.


Through this work, data collected from IoT devices could be presented more clearly to users, creating an app environment for sleep management services.

Production Period2023. 10 - 2023. 12
ClientSig Corporation
TechnologiesPython, Fast API, React
Client Requirements
& Project Direction
Through client interviews and consultations we derived the project's core requirements, and based on those insights we designed it around five areas that needed improvement from user experience and brand perspectives.
1.
Implement a connection structure that allows sleep data measured by IoT devices to be viewed in the app
2.
Build the device-connected service as an app using WebAppFactory
3.
Design the app flow and screen structure so users can easily understand sleep status and statistics
4.
Reflect a service direction that provides information to help improve sleep quality based on collected data
5.
Build a sleep management service environment that connects IoT devices with the app experience

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