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IoT system for runners to develop endurance

On beat

Prototypes IoT system that integrates physical and digital artifacts for endurance runners by tracking running data

timeline

4 weeks
Oct - Nov 2022

members

Inje Kang,
Nishad Kumbhare,
Sitha Vallabhaneni

role

Data Architecture & Flow,
UI Design,
Interaction Design,
Video Editing & Motion Graphics

Introduction

IoT system for endurance runners

We designed and prototyped an IoT system that track and measure an endurance runner's running habits on a running track. We integrated personal devices(mobile, watch, and wearable devices), public devices(kiosk, running track), and softwares(mobile app, watch app, music app) into the system. User's data related to running is transmitted and shared within the system to maintain running pace and improve endurance.

This project focused on prototyping and designing an IoT system rather than addressing user needs and painpoints.

data architecture & flow

user flow

Scan-In

1

Mobile

2

Watch

3

Scanner

Before running, the runner finds the running tracks where a kiosk is available. The runner can scan in the kiosk through the watch or mobile ticket, sharing user data (running pace, distance, time, etc)

Start Running and Music

4

Headphone

Once the warm-up is over, the user presses the "Start Run" button, automatically playing music depending on the user's ideal pace.

Track Running

5

Shoes

6

Running Track

Shoes share running data with the running track in real-time. The track displays the user's ideal pace to maintain and develop the user's running endurance.

Prototype

Mobile

Mobile works as a data center of the user. It stores user data related to running and transmits to other artifacts. Detailed running data and playlists linked to Spotify are displayed on mobile. The runner can set running goals such as pace and distance, and start a running session.

Prototype

Watch & Scanner

When the user starts running, the watch communicates with the scanner in NFC to identify the user and displays running information in real time. Since it is challenging to identify visual information while running, the watch only displays essential and minimal information.

Prototype video

Running Track

Reflection

This project allowed me to learn how to integrate multiple artifacts in the system. Unlike my past projects and experiences, I should consider those prototypes in a single context as a system in this project which provided me with an expanded viewpoint. As these artifacts and their interaction were more complicated, I expect that the IoT system would be able to address more complex problems.

Our team completed designing the entire context of running. We tried to consider the context before and after running, not limited to running itself. Especially the track was an interesting point of our project, which I thought was both a success and failure. The track could be an environmental factor beyond a mere artifact in our system. At the same time, we could not evaluate how it worked in real time.

Next Work

Fitbit

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