Cogtnitive state determination - fault tolerance
Budget: ₹1,500 – ₹12,500 INR
In the near future, Astronauts will need to carry out autonomous operations as they venture beyond Low Earth Orbit. For many of the activities that the astronauts perform, the same training is provided to all crew members months ahead of their mission. A system that provides real-time operations support that is optimized and tailored to each astronaut's psychophysiological state at the time of the activities and which can be used during the training leading up to the mission would significantly improve human spaceflight operations.
In the previous challenge, Cognitive State Determination Marathon Match, we have created an algorithm to determine the present cognitive state of a trainee based on biosensor data, as well as predict what their future cognitive state will be, three seconds in the future. More information on the previous challenge can be found here. You can check out our mini site here
In this challenge, we need to improve the algorithm. We will use the core algorithm created during the previous Marathon Match to analyze which sensor(s) have a reduced output or failed, and tweak the solution to handle those exceptions and make it fault tolerant. The expected outcome of this sprint will be exception(s) handling of sensor data and overall improved accuracy from the previous challenge.
In the previous challenge, Cognitive State Determination Marathon Match, we have created an algorithm to determine the present cognitive state of a trainee based on biosensor data, as well as predict what their future cognitive state will be, three seconds in the future. More information on the previous challenge can be found here. You can check out our mini site here
In this challenge, we need to improve the algorithm. We will use the core algorithm created during the previous Marathon Match to analyze which sensor(s) have a reduced output or failed, and tweak the solution to handle those exceptions and make it fault tolerant. The expected outcome of this sprint will be exception(s) handling of sensor data and overall improved accuracy from the previous challenge.