Comparison of Data Classification Results for Leap Motion Recovery Gestures
Static and dynamic gestures are frequently used in activities supporting learning, recovery healthcare, engineering, and 3D games to increase the interactivity between man and machine. The gestures are detected via hardware devices and data is processed using different software methods. This paper p...
Main Authors: | Chirila, O.-S (Author), Nicola, S. (Author), Stoicu-Tivadar, L. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
NLM (Medline)
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
Recognition of American Sign Language Gestures in a Virtual Reality Using Leap Motion
by: Aurelijus Vaitkevičius, et al.
Published: (2019-01-01) -
Study of Spatial Distribution of Groundwater Quality Using LS-SVM, MLP, and Geostatistical Models
by: Abbas Khashei-siuki, et al.
Published: (2015-07-01) -
Parkinsons Disease Detection by Using Machine Learning Algorithms and Hand Movement Signal From LeapMotion Sensor
by: Anastasia Moshkova, et al.
Published: (2020-04-01) -
Hand Tremor Based Biometric Recognition Using Leap Motion Device
by: Musa Atas
Published: (2017-01-01) -
Hand Gesture Recognition with Multiple Leap Motion Devices
by: Vasilij Kiselev, et al.
Published: (2019-04-01)