{"id":10481,"date":"2023-11-06T08:22:23","date_gmt":"2023-11-06T13:22:23","guid":{"rendered":"https:\/\/blogs.mathworks.com\/student-lounge\/?p=10481"},"modified":"2023-11-06T12:15:22","modified_gmt":"2023-11-06T17:15:22","slug":"hacking-better-emergency-response-times-with-matlab-mobile","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/student-lounge\/2023\/11\/06\/hacking-better-emergency-response-times-with-matlab-mobile\/","title":{"rendered":"Hacking Better Emergency Response Times with MATLAB Mobile"},"content":{"rendered":"
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Today we are joined by Rafael Otero, Alejandro S\u00e1nchez Roncero, V\u00edctor Manuel L\u00f3pez Higueras, and Pablo Pastor, a team of students\u00a0from Polytechnic University of Valencia (UPV)\u00a0who won first place at MATHACK 2022 by developing an application that can detect if someone has experienced a physical shock and, if so, send an alert to a chosen emergency contact. Over to you guys!<\/div>\n
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Inspiration <\/span><\/h2>\n
For MATHACK 2022<\/a>, organized by the European MATLAB Student Ambassadors, we had to develop a small application that contributed to the UN Sustainable Development Goals with the help of MATLAB, a mobile device and its sensors.Via MATLAB Mobile we could acquire data such as accelerations (linear and angular) and position (3D coordinates) and stream it to our personal computers in real-time. Measured data should be processed (i.e., filtering and state estimation). Using this data, we had to propose an application thatcontributed positively to at least 1 Sustainable Development Goal (SDG).<\/div>\n
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[image source: https:\/\/sdgs.un.org\/goals<\/a>]<\/div>\n

Breaking down the problem<\/h2>\n
All the members of the team had previous experience working with MATLAB since it is included in our university degree curriculum (Aerospace Engineering). However, the fact of having to apply our knowledge to a real problem was initially difficult for us because wehadn\u2019t used MATLAB Mobile before and we had difficulty collectively generating our own datasets for training and validation (usually they are provided in class lessons). For the same reason, we were also excited to get hands on experience and tackle this challenge.After a few minutes of brainstorming and some ideas, we came up with the idea to implement a Shock Alert Monitor (SAM). SAM would have two main functionalities: estimate the current dynamic state of the person carrying the mobile (i.e., idle, walking or running) and detecting shocks. In this way, the application could notify to the person’s relatives via Telegram if a shock was detected, so that medical assistance could be provided faster than in normal situations.<\/div>\n
This project is thus related to the following SDGs:<\/div>\n