Sökning: "Sign language recognition"
Visar resultat 1 - 5 av 15 uppsatser innehållade orden Sign language recognition.
1. Word-form recognition in 6-month-olds? Using event-related potentials to study the influence of infant-directed speech
Master-uppsats, Stockholms universitet/Institutionen för lingvistikSammanfattning : By 4.5 months infants listen longer to their names compared to matched foils, which is the earliest empirically demonstrated sign of word-form recognition. This ability develops gradually in the first year of life and becomes increasingly advanced. LÄS MER
2. A Comparative Study on the Importance of Image Resolution in Gesture Recognition
Kandidat-uppsats, KTH/DatavetenskapSammanfattning : Sign language translation applications could provide a whole new avenue of communication. However, translating sign language comes with challenges such as deriving and handling information from images which can be a difficult task for computers. LÄS MER
3. Active Learning for Named Entity Recognition with Swedish Language Models
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The recent advancements of Natural Language Processing have cleared the path for many new applications. This is primarily a consequence of the transformer model and the transfer-learning capabilities provided by models like BERT. However, task-specific labeled data is required to fine-tune these models. LÄS MER
4. Exploiting Leap Motion and Microsoft Kinect Sensors for Static and Dynamic Sign Gesture Recognition
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : One of the primary ways of communication between humans is verbal communication. Among hearing-impaired persons, the traditional way of communication is through sign language. Sign gestures are the atomic actions used in sign language for non-verbal communication. LÄS MER
5. Gauntlet-X1: Smart Glove System for American Sign Language translation using Hand Activity Recognition
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The most common forms of Human Computer Interaction (HCI) devices these dayslike the keyboard, mouse and touch interfaces, are limited to working on atwo-dimensional (2-D) surface, and thus do not provide complete freedom ofaccessibility using our hands. With the vast number of gestures a hand can perform,including the different combinations of motion of fingers, wrist and elbow, we canmake accessibility and interaction with the digital environment much more simplified,without restrictions to the physical surface. LÄS MER