It’s hard to get information about a person’s health today. The primary means are limited to tests run in a certified laboratory and equipment in a hospital or (not nearly as often) in a doctor’s office. In many countries, the tools necessary to capture data on the body is scarce. Even in developed countries, timely, convenient, cost-effective access to healthcare technologies is becoming harder and harder to find.
Nokia want’s to change that. The Nokia Sensing X CHALLENGE is a $2.25 million global competition to stimulate the development of a new generation of hardware sensors and software sensing technology that people can use to access, understand and improve their health and well-being.
The Nokia Sensing X CHALLENGE will hold two challenge events over the next two years. Each event will be comprised of three phases: registration, preliminary judging and final phase judging. The winners of each competition will be the teams that submit best in class technology as determined by a non-partisan judging panel of cross-functional industry experts.
The Nokia Sensing X CHALLENGE is focused on the following aspects of health sensor and sensing technologies:
- Sensing mode: new forms of biological, chemical, thermal, optical and electrical sensing and analysis.
- Cost and size: make many forms of sensing more widely accessible to people in their home and work environments.
- Interlinking: make sensors “talk” to one another as well as the cloud.
- Resource scarcity: improving the computing, communications and energy resources of sensors.
- Computing and machine learning algorithms: pushing the development of software that can infer complex conditions such as depression or addiction from data.
- Trustworthiness: enhancing reliability and quality of data and data delivery.
- Privacy and Security: addressing how data is collected and evaluated.
- Regulations, standardization and interoperability: establishing a forum and dialogue for convening industry standards to address these issues.
Check out the infographic below that shows how better data means better health.