Machine Learning (ML) involves making a machine able to learn and take decisions on real-life problems by working with an efficient set of algorithms. The generated ML models find application in different areas research management. One such field, automotive technology, employs enabled commercialized advanced driver assistance systems (ADAS) which include traffic sign recognition as part. With ...

By automatically translating Indian sign language into English speech, a portable multimedia translation program can help the deaf and/or speaker connect with hearing people. It could act as translator for those that do not understand language, eliminating need mediator and allowing communication to take place in speaker's native language. As result, Deaf-Dumb people are denied regular educatio...

Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver, and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver and significantly increase driving safety and comfort. Automatic recognition of traffic signs is also important for automated intelligent driving vehicle or driv...

Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can give an indication which elements or phases of a sign are important for its meaning. Also, the current generation of data-driven ASLR methods has shortcomings which may not be solvable without the use of knowledge on hum...