AEGIS

AEGIS

IoT Project

Overview

As an amateur goalkeeper player, training is essential. However, it is difficult to get helpful feedback from friends. Even I filmed myself, it is limited to find out what is right and what is wrong. Therefore, I decided to make an IOT sports product which helps analyze the game and gives feedback as a coach.

My Role

Research
Product Design
Wireframe
HI-Fidelity

Research

Finding goalkeeper coach is not difficult; however, employment costs of amateur goalkeeper coach is expensive. The starting price is over $50 per hour, and most of the coaches want more than $50. Through my interviews and experience, generally, the team doesn't want to hire a goalkeeper coach because this coach is only for the goalkeeper and it is expensive. Even if the team hire the regular coaches, that coaches can't satisfy the goalkeeper because they only just have a knowledge of general things.

Without the coaches, goalkeeper players can't improve their technique or reaction skills. Amateur goalkeepers don’t have professional knowledge about goalkeeping, so they rely on their own sense. Also, they ask friends to review their posture, but they can't trust the feedback. However, many goalkeepers use a camera to filming themselves for checking their posture. They think that filming is really helpful, but they want someone to analyze their data and give feedback base on that data.

Also, there are IoT products which are only for striker or overall team play, not for the goalkeeper. So I find the originality from my idea.

Competitive Analysis

Adidas miCoach’s Smart Ball is the soccer training apps with IoT product; it focuses on kick training. Their product's primary function is showing to a user which part of the ball is kicked, and ball speed, spin, trajectory. The other feature is showing videos about kicking posture. They have a smartphone app to connect with the ball. The limit of this product is focused on the striker’s ability and kick postures.

AlpineReplay’s Trace combines sensors, video, and app to trace players. With the data from the video record, the team coach can take notes, so every player has an equal chance to get feedback from their coach. This competitor requires the coach, and they are focused on team formation. Right now, this competitor has only a prototype demo system.

Target Audience

My target audience is amateur goalkeeper players (age between 20 to 35) who has middle-level skills.

Users Quote

I ask my other team goalkeeper friend, but he is an amateur too. So, we watch Youtube goalkeeper training channels together and practice base on it.

Ronnell

My team has a coach, but I'm not sure he knows goalkeeping knowledge. He is not a specialized coach to the goalkeeper.

Samantha
Define the Problem

• The costs of goalkeeper coach are expensive, and the general coaches don't have professional knowledge of goalkeeper.

• The players can't train quick reaction efficiently, and they are not sure they are doing right or not.

• The players rely on their sense to play and can’t check their play by oneself.

• The players use a camera to monitor their stance or ask friends to review the posture, but they felt it is limited.

The Solution

As an amateur goalkeeper player, training is essential. However, it is difficult to get helpful feedback from friends. Even I filmed myself, it is limited to find out what is right and what is wrong. Therefore, I decided to make an IOT sports product which helps analyze the game and gives feedback as a coach.

This IoT product help the goalkeeper can train autonomously. The 180-degree camera record the player and the gloves sensor send the data to the player's phone. Based on that data, the player can check their ability such as concentration, judgment of the situation, and reaction; The player improves their skills. Also, the player can check their stance and get feedback about each case of posture.

Here is my final design.

THIS PROJECT IS A SEMIFINALIST IN THE 2018 ADOBE DESIGN ACHIEVEMENT AWARDS.

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2019 © Seung Joo Lee