Introducing “Doing”– a fitness dApp that rewards people for playing sports. The “Doing” dApp tracks your movements and distance travelled, aggregates the data, and analyzes it. Data is analyzed and the user is given ownership of their data, it can then be sold to 3rd parties anonymously. How does this dApp work? What’s in it for the 3rd parties? What does the roadmap look like? How about the team?
“Doing” is a dApp powered by A.I. and block encryption. The application itself implements technology to track movements of athletes as they play sports. Initially, it will comprise of functionality to track running, walking, and simple distance activities. In the future “Doing” wants to dive deeper into video. They claim video and A.I. is the future of truly analyzing athletic performance, biomechanics and form. The A.I analyzes the video and stores it in a database to find commonalities in specific movements. They can then provide users and other interested parties insight into how to train and perform best. “Doing” hopes to gain access to place specialized A.I. cameras in courts, fields, and parks in order to track athlete movements and actions. These cameras will run 24/7, constantly recording and constantly storing and analyzing data as it comes. They are considering adding sensors that can be placed on athletes to better track movements for the application. Doing will reward users with coins for using the app.
So what’s in it for 3rd parties? Who’s interested in this type of data? The “Doing” team is currently seeking out universities and sports institutions to use their proprietary technology. Institutions that emphasize sports are always on the lookout for better training and information that can improve their athletes’ performances. The competitive advantage this data can give universities is very attractive.
If only for injury prevention, the information is extremely valuable. Taking it to another level, “Doing” would someday love to work with hospitals. Perhaps with enough data accumulation, there could be statistically significant data that explains a pattern related to injuries, symptoms, diseases, etc. All in all, there are several parties that can find value in the data “Doing” collects and analyzes.
As for their roadmap, in March of this year they seek to have an app on IOS and Android available. Early versions will focus on tracking data and movements for walking and running activities. Come June or July, “Doing” will migrate to the Elastos blockchain and run their own sidechain. They hope to seek funding from the Cyber Republic and they are getting their ducks in row to make it happen. The team has the UI and prototype fully completed. Currently, they’re working on their database and network in order to get the dApp fully up and running.
The “Doing” team consists of five people from A.I., CS, and blockchain backgrounds, two of which are senior developers. Most of the team met in college and they have developed many other applications in the past. They fittingly came up with the original idea at the gym. They currently have connections to a top University in China called Tsinghua University. This university specializes in A.I., specifically A.I. cameras. The “Doing ” group hopes this contact will help shape their A.I. protocols as well and implement specialized camera technology within the dApp itself.
“Doing” is aiming to become a dApp that rewards athletes and people for playing sports. Third party institutions can then pay for the reliable data and use it for research and development. In a world that’s driven by big data and analytics, “Doing” hopes to contribute in the sports/fitness arena and properly compensate and educate athletes as well as give a clearer assessment of how certain movements and actions affect player performance and health.