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Navigating an unfamiliar city can be difficult for anyone. For a blind person or someone with a significant visual impairment, moving through an unknown environment presents an even greater challenge.<\/p>\n\n\n\n
Detecting an obstacle, finding a specific address, or knowing when to change direction are actions we usually perform almost without thinking. Technology is beginning to change this situation.<\/p>\n\n\n\n
A prime example is Mobilio, a mobile app developed by researchers at Harvard's School of Engineering and Applied Sciences (SEAS). The concept is compelling: leveraging the sensors already built into smartphones to help visually impaired individuals navigate with greater independence.<\/p>\n\n\n\n
This app\u2014currently under development\u2014combines data from various phone sensors, such as the camera, GPS, and motion and orientation sensors. The system also employs artificial intelligence and machine learning to interpret the user's surroundings.<\/p>\n\n\n\n
In this way, the app can detect obstacles, identify walkable areas, and provide directions to follow a specific route. There is a key difference compared to conventional navigation apps: while Google Maps can tell us where to turn, it does not necessarily indicate what is directly in front of us at that precise moment.<\/p>\n\n\n\n
For a blind person, this information can be crucial. That is why Mobilio provides guidance through audio signals and messages, allowing the user to receive route information without needing to look at a screen.<\/p>\n\n\n\n
The initial results are particularly promising. In tests involving visually impaired individuals, the system enabled them to complete an outdoor route approximately 13% faster than when using Google Maps combined with a white cane. Furthermore, during a specific obstacle test, participants reduced contact with environmental objects by approximately 41%.<\/p>\n\n\n\n
These results are still preliminary and should be viewed within a research context. Mobilio remains in the testing phase, and there is still work to be done before it can be considered a tool for widespread use.<\/p>\n\n\n\n
However, the project demonstrates a highly significant technological trend: artificial intelligence can transform a device we already carry in our pockets into a far more advanced accessibility tool.<\/p>\n\n\n\n
Cameras, GPS, motion sensors, data processing, and artificial intelligence can work together to provide information that helps a person navigate an unfamiliar environment.<\/p>\n\n\n\n
In the future, we may not need highly complex devices to achieve this. A mobile phone, properly equipped with the right software, could become a true personal assistant for the visually impaired.<\/p>\n\n\n\n
Mobilio is still a research project, but it serves as an excellent example of how technology can be used to solve everyday problems and, above all, to foster greater independence and a better quality of life.<\/p>\n\n\n\n
After all, that should be one of the primary goals of technological innovation: enabling people to do more things for themselves.<\/p>\n\n\n\n
Let us hope that this app\u2014or a similar one\u2014reaches the market as soon as possible.<\/p>","protected":false},"excerpt":{"rendered":"
Views: 0 Moverse por una ciudad que no conocemos puede resultar complicado para cualquiera. Para una persona ciega o con una discapacidad visual importante, desplazarse por un entorno desconocido supone un desaf\u00edo todav\u00eda mayor. Detectar un obst\u00e1culo, encontrar una direcci\u00f3n concreta o saber cu\u00e1ndo hay que cambiar de rumbo son acciones que normalmente realizamos casi […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[128,102,135],"tags":[],"class_list":["post-4980","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","category-society","category-technology"],"yoast_head":"\n