Challenge 1: Recreational wearables for working hours activity monitoring
Recreational wearables, such as Fitbit, Jawbone, Sensoria, Xmetrics and others, have the ability to monitor one or more variables and provide feedback to the user in terms of better activity, better diet, better sleep regimen. Some wearables, like Sensoria socks or Xmetrics for swimmers, are also capable of providing real time feedback, so that a runner learns to place the foot better, or the swimmer to flip better.
However, little has been developed to support a person during the professional hours, especially in a manufacturing environment or in a warehouse where people walk, climb stairs and lift weights well beyond what is normally accomplished with an hour at the gym.
Starting from any existing wearable device and using open platforms (such as but not limited to Arduino), develop a new device or a new model of an existing one that can monitor and provide feedback during both recreational and work hours. In other terms, the device should allow the user to receive feedback also when lifting weights or performing tasks in a manufacturing or distribution environment.
Challenge II: Portable or wearable NO2 measurement devices for outdoor personal usage
Air quality can be assessed comparing pollutants’ concentration with “safe” thresholds defined by international regulations. NO2 is one of the most important components to be monitored. Currently, the monitoring of air quality is managed by few (very expensive) certified fixed stations. These data are not enough to have a clear picture and to act properly. Moreover, people involvement is a key feature of the growing vision of smart communities and of social participation.
This is why a growing attention is being given to portable (or wearable) devices measuring air pollution. The aim is to create a crowd-sourced network of low-costs sensors collecting data (by people when moving outdoor). These data can be used for better understanding the diffusion of pollutants in a urban settings, to provide actionable knowledge to decision makers and personal feedback to citizens. At this stage, the challenge is to develop a “mass” product to be adopted by a large number of customers.
Starting from existing low-cost NO2 sensors (metal dioxide or others) develop new portable devices for outdoor personal usage, using open platforms.
The new device shall be equipped with Bluetooth connection and with additional sensors (measuring for instance temperature, humidity, etc.)
Challenge III: Modular Tracking System for Anonymous and Permanent information
People moving in large spaces produce information. The behaviour of each individual can be useful and valuable in various fields, such as security, market analysis, or environmental studies. However, most of that information cannot be stored or used for privacy issues.
The solution could be found in numbers: rather than acquiring complex data from a few nodes, a large number of elementary sensors can be used to reconstruct the position and the route of each subject in an arbitrarily large space while keeping the path itself anonymous. The information about the behaviors – sometimes incomplete, sometimes corrupted – of each anonymized individual will become a part of a larger set that can be stored and used for statistical analysis.
The goal is to propose a solution for a network of independent devices able to be installed in a network. Each sensor will have to be autonomous for as long as possible reporting a data set which has little meaning on its own but has a specific part into the big picture puzzle. The data must be pre-processed in order to anonymize it while keeping the most relevant information for the statistical analysis.
· 15.000€ per challenge
· Working collaboration with AizoOn
· Single participant: university degree, max 35 years old
· Team: university degree for all team members, age average maximum 35 years
DEADLINE FOR SUBMITTING SOLUTIONS:
25 September 2015