How mobile app using AI and augmented reality can change the way of cycling for students ?

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How mobile app using AI and augmented reality can change the way of cycling for students ? by Mind Map: How mobile app using AI and augmented reality can change the way of cycling for students ?

1. Sport

1.1. Cycling as a sport

1.1.1. Be healthy

1.1.2. Training to be better

1.1.3. Cycle trail

1.1.4. Relax

1.1.5. With friends

1.2. Get data about us

1.2.1. Heart pulse

1.2.2. Breathing

1.2.3. Calories burnt

1.2.4. Training diary

1.2.5. Distance done

1.2.6. Speed

1.3. Augmented reality

1.3.1. Can choose a specific paysage instead of habitual landscape

1.3.1.1. Central park

1.3.1.2. Amazon forest

1.3.1.3. Paris road

1.3.1.4. Jurassic Park

1.3.2. See data in your view

1.3.2.1. Bpm

1.3.2.2. Speed

1.3.2.3. Distance

1.3.2.4. Time

1.3.2.5. Ideal traject

1.3.3. Combined with

1.3.3.1. Smartphone

1.3.3.2. Reality virtual headset

1.3.3.2.1. https://everysight.com/fr/

1.3.4. User will be aware of the obstacles

1.3.4.1. Others people

1.3.4.2. Red lights

1.3.4.3. Cars

1.3.4.4. Buildings

1.4. Machine learning

1.4.1. Program to train us

1.4.2. Depending on

1.4.2.1. Time

1.4.2.2. Date

1.4.2.3. Geographical zone

1.4.2.4. User conditions

1.4.2.4.1. BPM

1.4.2.4.2. Blood pressure

1.4.2.4.3. Age

1.4.2.4.4. Weight

1.4.2.4.5. Body fat

1.4.2.4.6. Body muscle

2. GPS

2.1. Get a path

2.1.1. The speedest

2.1.2. The shortest

2.1.3. The safest

2.1.4. The chillest

2.1.5. The easiest

2.2. Avoid trafic

2.2.1. Real time data

2.2.2. avoid accidents

2.2.3. avoid worked road

2.3. User tracking to inform relatives or police where he is lost

2.3.1. Less fear

2.3.2. Safety

2.3.3. For elders, young, children ...

2.4. Machine learnig

2.4.1. Path

2.4.1.1. Propose a path the user will like

2.4.1.1.1. Speedest

2.4.1.1.2. Most beautiful landscape

2.4.1.1.3. Shortest

2.4.1.1.4. Most challenging

2.4.1.2. Depending of

2.4.1.2.1. Habitude of user

2.4.1.2.2. Time

2.4.1.2.3. Traffic

2.4.1.2.4. Weather

2.4.1.2.5. Accidents /dangerosity

2.4.1.2.6. Geographical zone

2.4.2. User tracking

2.4.2.1. Location prediction using GPS trackers: Can machine learning help locate the missing people with dementia?

2.4.3. AI in GPS

2.4.3.1. Detect the transport mode (cycle or not)

2.4.3.2. Memory for the future

2.4.3.3. How ?

2.4.3.3.1. GPS with AI Github

2.4.3.3.2. AI in GPS navigation systems

2.5. Augmented reality in GPS

2.5.1. Virtual path that guides you

2.5.2. Prototype designs use augmented reality to make urban cycling safer

2.5.3. Google maps

2.5.4. Sygic GPS navigation

3. Music

3.1. Everybody listen music

3.2. Enjoy music

3.3. Statistics

3.3.1. 80% of 15-24 years old listen music

3.3.2. People are listening 3 hours per day

3.4. Many apps

3.4.1. Phone native app

3.4.1.1. Samsung player

3.4.1.2. Apple music player

3.4.2. Spotify

3.4.3. Deezer

3.4.4. Apple music

3.4.5. Google music

3.5. Different kinds of music

3.5.1. Rap

3.5.2. Pop

3.5.3. Classical

3.5.4. Reggae

3.5.5. Rock

3.5.6. Jazz

3.5.7. Metal

3.6. Machine learning

3.6.1. What ?

3.6.1.1. Music chosen among the music library of user

3.6.1.2. Music recommendation

3.6.1.3. Music generation

3.6.2. Depending of factors

3.6.2.1. Personality

3.6.2.2. Mood

3.6.2.3. Intensity of cycling

3.6.2.4. Geographical zone

3.6.2.5. Time

3.6.2.6. Date

3.6.3. Combined with

3.6.3.1. Connected watch

3.6.3.1.1. Heart pulse

3.6.3.1.2. Blood pressure

3.6.3.2. Activity of the user

3.6.3.2.1. On social app

3.6.3.2.2. Research on internet

3.6.3.3. Real time event

3.6.3.3.1. Press Article

3.6.3.3.2. Social media

3.6.3.3.3. Web

3.6.4. How ?

3.6.4.1. Collaborative filtering and deep learning research article

3.6.4.2. Yahoo basic music recommendation github

3.6.4.3. Music generation AI

3.6.4.4. NLP

4. Mobile app

4.1. What is it ?

4.1.1. Application software on mobile device such phone, tablet or watch

4.1.2. Statistics

4.1.2.1. More than 205 billions mobile app downloaded

4.1.2.2. More than 5 millions mobile app

4.1.3. How to create ?

4.1.3.1. Building a Mobile App: Design and Program Your Own App!

4.1.3.2. Developed in java, C,C++, javascript ....

4.1.3.3. A Step-by-Step Guide To Building Your First Mobile App

4.2. Where ?

4.2.1. Smartphone

4.2.1.1. Everybody has one on him, more than 2.7 billions people has one

4.2.1.2. Can download app on ...

4.2.1.2.1. Google Play

4.2.1.2.2. App Store

4.2.1.2.3. Free or paid

4.2.1.3. Every functionality on one device

4.2.1.4. Light weight

4.2.1.5. No more expenses

4.2.2. Connected Watch

4.2.2.1. Introducing Apple Watch Series 5

4.2.2.2. More and more people have a connected watch

4.2.2.2.1. Multiplied by 15 between 2014 and 2017 from 5 to 75 millions

4.2.2.3. Light weight

4.2.2.4. Can download app on ...

4.2.2.4.1. Google play

4.2.2.4.2. App Store

4.2.2.4.3. Free or paid

4.2.2.5. Can take human body data

4.3. Why ?

4.3.1. Better than ...

4.3.1.1. Website

4.3.1.1.1. Upside

4.3.1.1.2. Downside

4.3.1.2. Specific device

4.3.1.2.1. Upside

4.3.1.2.2. Downside

4.3.2. SocialCycle what can a mobile app do to encourage cycling?

4.3.2.1. Like a game

4.3.2.2. Make friends

4.3.2.3. Be on time

4.3.2.4. Better environment with less pollution

4.3.2.5. Be healthy by doing sport

4.3.3. Advantages

4.3.3.1. Quick

4.3.3.2. Easy

4.3.3.3. Cheap

4.3.3.4. Can have multiple app with just one device

4.3.3.5. Access to phone features

4.3.3.6. Work offline

4.4. Data

4.4.1. Database

4.4.1.1. Lot of information

4.4.1.2. Updated daily

4.4.1.3. Large choice

4.4.1.4. API

4.4.2. Own data

4.4.2.1. Collect our data : phone, calendar, location

4.4.2.2. Better functionality because it is personalized

4.4.2.3. Dangers

4.4.2.3.1. Sell our data

4.4.2.3.2. Know everything: who where when

4.4.2.3.3. Spy

4.4.2.3.4. Here are the ‘sinister’ dangers that could arise from companies collecting our data, according to a computer scientist

4.4.2.3.5. George Orwell's 1984: Why it still matters - BBC News

5. Students

5.1. Who ?

5.1.1. People between 15-26 years old

5.1.2. Apprentice

5.1.3. Trainee

5.1.4. High school students

5.1.5. University students

5.2. Why ?

5.2.1. Need to move

5.2.1.1. Moving to school

5.2.1.2. Moving inside university

5.2.1.2.1. Between the buildings

5.2.1.2.2. To one course to another

5.2.1.2.3. To one activity to another

5.2.1.2.4. Campus Report: The student bike | Wageningen University & Research

5.2.1.3. Moving to the center of the town

5.2.1.3.1. Party

5.2.1.3.2. Restaurants

5.2.1.3.3. Activities

5.2.1.3.4. Do shopping

5.2.1.3.5. Buy food

5.2.1.4. Moving to the place of internship or apprenticeship

5.2.2. Troubles for moving

5.2.2.1. Car

5.2.2.1.1. Traffic congestion

5.2.2.1.2. Expensive

5.2.2.1.3. Pollution

5.2.2.1.4. Failure

5.2.2.2. Public transport

5.2.2.2.1. Lot of people

5.2.2.2.2. Demonstration

5.2.2.2.3. Not adapted for our time schedule

5.2.2.2.4. Failure

5.2.2.3. Cycle

5.2.2.3.1. Not enough cycle pathway

5.2.2.3.2. Accidents because vulnerable

5.2.3. People

5.2.3.1. Make friends

5.2.3.2. Share moments

5.2.3.3. Be sociable

5.2.4. No pollution against environment

5.2.5. Health

5.2.5.1. Like a sport

5.2.5.1.1. Breaking away

5.2.5.2. Burn calories

5.2.5.3. Heart working

5.2.6. Everyone has a smartphone