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Today, the information in public transport, especially when an unforeseen event such as signal failure, platform change, etc. occurs, is largely provided by making an audio announcement. This, in many situations, is hardly understandable due to various factors, and it rarely helps people with hearing impairment. This work attempts towards an accessible driver announcement in public transportation based on a speech-to-text conversion and on-screen displays. Incorrect speech-to-text conversions are checked and corrected using a GloVe (Global Vector) based algorithm so that passengers get correct information. User testing of the system with different people including hard of hearing shows the effectiveness of such a solution. This work has been done, by taking the current system in public transportation in Oslo, Norway as a reference. However, the proposed solution and workflow can be applied to any mode of public transportation and anywhere in the world.
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
Coursework Hand In 2
In this Project Wi-Fi based Indoor Navigation System is developed for Islington College where students and other users inside the college premises can find their position using this system into their Android smartphones. This system uses signals received from the mobile device’s wireless adapter, compass, and accelerometer to determine the user’s position. Firstly, an RSS logger application was developed using Android API which creates a file containing RSS values and to determine the position the recorded RSS values are compared with the real-time RSS values received from the access point in the mobile device. The position of the mobile device or user is then displayed on the map in the smartphone.
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