Figuer 1. Personal dashboard and city dashboards
After reading about quantified self and smart cities, I came into the idea of creating a personalised urban dashboard. This will allow users to receive personalised information and knowledge about a city.
We have been quantifying, collating, communicating and displaying the data streams of a smart citizen (quantified self initiative) for over one decade or two. And we have been quantifying, collating, communicating and displaying the data streams of cites for an even longer period of time.
Connecting Quantified Self and Smart Cities will contribute to the knowledge of how a citizen can benefit from the Smart Cities initiatives. As the citizens contribute the fund and data to Smart Cities, It will be very important to demonstrate any benefits that the citizens can enjoy from the millions of devices across the city and Terabits of data produced in the Smart Cities.
Can quantifying, collating, communicating and displaying data streams of a smart citizen bring benefits to a smart city and its citizens?
Quantified Self enables citizens to tailor the data produced in the Smart Cities to facilitate their life.
Scale down the Smart Cities into various phenomena and connect to a range of personal data for innovations that can facilitate t A personalised urban dashboard will be created to validate users reaction to the new creation from combining city data and personal data.
An example of an achievable personalised urban dashboard or urban data extended personal dashboard.
|Quantified Self||Smart sensors||Smart Cities||API/data sources|
|Heart rate||NHS GP?|
|Ambient sensors – pollution||Air pollution analysis||KCL LAQN
|Sleep||Sleep trackers||neighbourhood noise analysis||Need to find|
|Fitness trackers||Transport / gym||Cycle route…
Walking route …
|Social media||Emotion sensor
|City Events – Timeout
Relevant news from City social media account
|Mind activities||Computer activities tracker||Park/Green space/Gym||Green space map?|
|Expense? – very sensitive data…..||Spending tracker||House price – rent and purchase||Zoopla / detailed UK price dataset…|
|Favourite music||Amazon echo||Music festival info||Timeout …|
|Genetics||23andMe||NHS, GP services|
Quantified self and Smart Cities initiatives have been developed for more than two decades, what if we connect the personal data collected from a ‘quantified selfer’ to the data collected by the millions of sensors and devices deployed in the ‘Smart City’?
Below is a matrix I made through a brainstorm. The columns are the data we have from the city perspective, and the rows lists the personal data that can be collected with the current tracking hardware and software. We can easily observe some interesting crossing of the two that will bring new useful knowledge to the user. Just to point a few: house price along your current commute route, urban events push based on your interest detected by speech recognition, noise an CO2 monitoring and alerting while hard working on your computer, etc.. Notably, some of the features on the crossing are implemented or being developed by private and public stakeholders. Google, for example, has done serious work with the Google Now app, exploiting the public transit data, news and health for its users.
The matrix reveals the huge potential of combining the personal scale and city scale data. Even if we can’t scale up on the quantified selfer participants to impact the decisions for the city, the quantified selfer will benefit from the personal tailored Smart Cities data to their body, location, health, moody and so on.
|Public transit||Air Quality||Noise||Urban events||Public/Green space||House price||Urban news||Weather||Crime||City Social media||POIs||Smart home sensors data||Health care|
|Location||Real time traffic info||nearby AQ report
Air quality map
| local noise level monitoring
|Events recommendation from Timeout etc.||Public/Green space opening and closing time||Rent/house price compared to user’s|| borough news
|local weather|| Local police
|Instagram – Nice photo’s of the city
|Places worth going to, based on detection of busy/free status||Indoor ambient||Local health care information|
|Heart rate||Noise monitor and warning||Nearby health care
|Disability||Step-free access||POIs with step-free access|
|Sleep||Late night noise level in the area||CO2 concentration level
Fluidity of air
|Workout||Air quality level push during workout||Marathon, skateboard, cycling event push based on users’ interest||Running route suggestion||Weather forecast for outdoor workouts||Gym recommendation||CO2 push for workout|
|Movement||Time to go reminder||suggestion for movement modes based on AQ||Noise level along the route||Great events along the route at the right time||a greener route for cyclist and walkers||commuter rental cost-effective comparer||Road information||Route suggestion||Road information|
|Social media||matching urban news and personal interest – sports, music, etc in town||filter relevant tweets from city account for the user|
|Mind activities||Public transit before and after work based on MA detections||Ambient detection – air, noise for a cozy work environment|
|Hobbies||events matching with hobbies detected from typing||New push to the user based on hobbies/keywords from speech||Hobbies/keyword detection with Voice Assistant|
|Expenses||Cheaper fare recommendation||Free urban events push||rent/other expense ratio||discount information||Cheaper fare information||Shops recommendation – location based|
|Favourite music||Musical festival push||Musical venue to go|
|Genetics||Alert – avoid going to certain places for people with bad resistance to air pollutant||Personal health care based on Genetics result|
Nutrition Restaurant recommendation
|Disease||Bad air quality warning||Disease profiles created by user to the public health care|
|Weight, height||Time to go to nearest sport facilities||Open space for workout with nice photos||Gym recommendations||Personal health profile|
|Mood||Events suggestion based on users mood||POI recommendation according to user’s mood||Mood detection from facial expression sensors||Connecting depressed people to proper health care|
Social Media Tracking
- Fitbit Charge 2
- Fitbit Aria Smart Scale
- RescueTime – Digital device based
- Moves – Location based
- Amazon Alexa Echo
- Gyroscope – restaurant recognition
- Fitbit food logging
- Daylio – mobile app for mood logging
- Alexa Echo – speech recognition
- Google Glass Explorer Edition
- Tobii Pro Glasses
Tobii Pro Glasses is similar to Google Glass Explorer Edition, but has a focus on eye tracking.
- UHOO – ambient sensing device and dashboard
- WifiAngel – Visualisation and soundification of the WiFi around a user
- North Sense – a wearable device that vibrate when you face the north.
Quietly, Google Glass is coming back this July under Google’s (now Alphabet’s) X division (the company’s experiment product division) . The previous Google Glass was an expensive experiment of Google. Graduated from Google’s X Lab (the predecessor of Google’s X division) in 2015, the Google Glass project was suspended due to social rejection. The discomfort of the people around the glass is so tense that the Google Glass wearer at that time were given the name “Glasshole”. In front of the criticism and rejection in the public, Google had to temporarily stop the Glass project.
After 2 years, Glass is back. Interestingly, Google named the new product “Glass” without “Google”, showing less connection to the very controversial predecessor. Apart from the change in the name, the new version targets at professional uses rather than personal use. Currently, the website only shows Glass Enterprise Edition, which is advertised as end to end business solution for companies like logistics, manufacturing and healthcare.