Sökning: "Face Recognition"
Visar resultat 21 - 25 av 201 uppsatser innehållade orden Face Recognition.
21. Automated Attendance System : Recognition System Based on Facial Features
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskapSammanfattning : Consider a situation where you need to identify each and every person in a room and categorize each of the persons as present or absent. To mark the presence of hundreds of people in a room takes a lot of time, which means you can eventually be left out with less time to explain the main aim of that meeting, class, or some other things. LÄS MER
22. Polar Codes for Biometric Identification Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Biometrics are widely used in identification systems, such as face, fingerprint, iris, etc. Polar code is the only code that can be strictly proved to achieve channel capacity, and it has been proved to be optimal for channel and source coding. LÄS MER
23. Emotion AI in Mental Healthcare : How can affective computing enhance mental healthcare for young adults?
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : There has been a stigma attached to mental health for years, with many people afraid to seek help from mental health professionals due to negative stereotypes about those seeking help. Young adults in particular are still reluctant in regards to seeing a therapist since they are ashamed, do not want to show weakness or they perceive their need for therapy as low. LÄS MER
24. Forest damage in the eyes of scientists : framing damage perspectives in Swedish forestry
Master-uppsats, SLU/Southern Swedish Forest Research CentreSammanfattning : Forest damage is a complex concept. Damaging agents appear naturally in ecological systems, but forest management also impacts their quantities. Damage can also be viewed from its interactions with a social system, where it appears and is understood. LÄS MER
25. Spot the Pain: Exploring the Application of Skeleton Pose Estimation for Automated Pain Assessment
Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Automated pain assessment is emerging as an essential part of pain management in areas such as healthcare, rehabilitation, sports and fitness. These automated systems are based on machine learning applications and can provide reliable, objective and cost-effective benefits. LÄS MER