Essays about: "Deaf people"
Showing result 1 - 5 of 18 essays containing the words Deaf people.
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1. The design of evacuation alarms for people who are deaf or hard of hearing
University essay from Lunds universitet/Avdelningen för BrandteknikAbstract : The ability to hear is essential for receiving auditory signals, which serve as warnings and alerts in many situations, including fire evacuation. However, people with hearing impairments may miss out such signals and can be exposed to dangerous situations. READ MORE
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2. Internet of things connected notification device for people who are hard of hearing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This degree project investigates the possibility to develop and re-design an IoT solution called NOT!FY, offered by the company Omnitor. NOT!FY is used by users who are hard of hearing or deaf as a complement to an accessibility communication application. READ MORE
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3. Konflikten om naturreservat och naturvårdsavtal : är skogen en hållbar resurs som alla ska ha tillgång till?
University essay from SLU/Dept. of EconomicsAbstract : Äganderätt är en del av skogsägande som för många människor är betydelsefullt. Det är värden som inte går att betala för, eftersom ingen ersättning kan täcka känslomässiga värden som ibland under lång tid har byggts upp. READ MORE
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4. Development of Tactile Actuators : Actuators for arm mounted hearing device
University essay from Karlstads universitetAbstract : This report is a thesis work for a Master of Science in Mechanical Engineering at Karlstad University. More than 8.5 million people in the world are deaf but unable to get cochlear implants. It has been shown that by the use of actuators that stimulate the skin nerves in different patterns, people can learn to feel the sound on their skin. READ MORE
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5. Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The automatic interpretation of signs of a sign language involves image recognition. An appropriate approach for this task is to use Deep Learning, and in particular, Convolutional Neural Networks. This method typically needs large amounts of data to be able to perform well. READ MORE