AI Sign : Sign Language im Vergleich zu Sign Language App-Carpentry Nutzung und Statistiken

AI Sign is probably one of the first A.I. / machine learning app that use for recognise American sign language. AI Sign is able to recognise more than 100+ actions (Sign language in word). AI Sign has two modes: 1. Action Recognition mode: User do actions in front of the camera, and then AI Sign will try his best to predict what is your action in terms of American Sign Language. 2. Capture mode: In order to make AI Sign increase its recognition accuracy, we need more data to train our machine learning model. Therefore, we hope you can help us to generate more training data by capturing your actions. Note that we do not capture your images, all the captured data are numeric e.g. 0.1231, 0.2578 etc... Also you upload your data manually via the app. We will not automatically upload your data to our server. Action list (Recognisable) Angry, Ask, Bad, Bird, Bored, Bus, Busy, Buy, Can, Car, Cat, Chicken, Close, Cold, Come, Cook, Correct, Cow, Cry, Doctor, Dog, Dont, Dont know, Dont like, Dont understand, Dont want, Drink, Ear, Excited, Exercise, Eye, Face, Father, Finish, Fish, Food, Friend, Frustrated, Fun, Funny, Go, Good, Goodbye, Great, Happy, Hello, Help, Hospital, How, How much, Hungry, Husband, I love you, Jump, Key, Kid, Laugh, Lazy, Left, Like, Listen, Long, Love, Mine, Mother, Music, Nervous, Nice, No, Open, Pig, Please, Police, Pretty, Proud, Rabbit, Right, Run, Sad, Scared, School, Short, Show, Shower, Shy, Sick, Sit, Small, Smell, Smile, Sorry, Stand, Start, Stop, Study, Surprise, Taxi, Tear, Telephone, Thankyou, Thirsty, Tired, Ugly, Understand, Vegetable, Visit, Wait, Walk, Want, Welcome, What, When, Where, Which, Who, Why, Wife, Write, Yes, Zipper
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Sign language app glossary has been designed to support vocational training of students with hearing-impairment. This app has been developed by GIZ- Vocational Training in Sri Lanka project, commissioned by German Federal Ministry for Economic Cooperation and Development (BMZ) as part of the efforts to support inclusive vocational training. The project supports a network of vocational training centres including the Nuffield School for the Deaf and Blind in Kaithithady, Jaffna. ‘Vocational Training in Sri Lanka’ is a project commissioned by German Federal Ministry for Economic Cooperation and Development (BMZ) and implemented by Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH to improve Technical and Vocational Education and Training (TVET) Sector in Sri Lanka through demand-driven cooperative training. The objective of the Vocational training in Sri Lanka (VTSL) project is: Youths from all sections of Sri Lanka's population have increasingly access to demand-based cooperative vocational training. The project’s partner is the Ministry of Skills Development and Vocational Training. The key implementation partner agencies are the Sri Lanka German Training Institute (SLGTI), the Ceylon German Technical Training Institute (CGTTI), the Vocational Training Authority of Sri Lanka and other selected public institutions and, particularly, selected private sector partners (PSPs). The VTSL project is scheduled for a three-year term (July 2019 until June 2022).
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  • Kostenlos
  • Versorgungseinrichtungen

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Januar 10, 2025