SINAPXIA - Space Apps Challenge

SINAPXIA| Sleep Shift Scheduling Tool

Sleep Shift Scheduling Tool

Sleep loss and fatigue may lead to reduced performance and an increased risk to safety during many activities, including spaceflight. Your challenge is to develop an operational sleep shift scheduling tool that provides autonomous customization of a schedule for sleep, exercise, and nutrition to manage fatigue.

SINAPXIA: AI Remote Monitoring

Summary

We propose a data collection of vital and emotional signs through remote sensors, both voice data collection as well as brain waves. Achieving this using radio frequency and different methods. Once the data is obtained, it will be processed to obtain information. A relational model database is proposed, since it allows the entities to work globally and facilitates teamwork. A neural network ordered by layers will take the corresponding stimuli from the database, in order to process and learn about patterns that lead to alert the astronauts of possible fatigue or exhaustion and program an adequate rest based on their needs. The result will be returned by screen or by signals.

How We Addressed This Challenge

We want to develop a modeling computer system that, through sensors, will collect information on the vital signs of the astronauts, this is proposed to be done remotely and non-invasively. It will use sensors, a database and a neural network in continuous learning from which it is expected to obtain an appropriate daily rest routine based on the needs of each of the astronauts and, if it is necessary, to send an alert signal before physical exhaustion when performing a task.

https://drive.google.com/drive/folders/1USlJz3RVa9aTD6YNwWX5XWu_Hg5XNYMp?usp=sharing

How We Developed This Project

We used a conceptual approach of a neural network system and proposed a relational entity database, as input data processing to artificial intelligence software, which was considered to have a layered structure and hierarchical learning. As sensors we suggest the use of the TGAM module, important to obtain brain wave signals.

How We Used Space Agency Data in This Project

We use it to know how the astronaut's health is affected in space, his physical performance and diet. These are keys to conciliate a good sleep and, in turn, a good rest generates a better performance of the crew member.