gesturematching
Gesturematching, sometimes written as gesture matching, is the process of comparing a gesture sequence obtained from a user with a reference template or library to determine similarity or identity. It is used in gesture recognition, human–computer interaction, and authentication, and can operate on various data modalities including video, depth or motion-sensor streams, and skeletal pose data.
In practice, gesturematching involves capturing a sequence of motions, preprocessing and normalizing the data (e.g., temporal
Common applications include sign language recognition, gesture-based control for devices and virtual reality, and gesture-based authentication
Challenges include variability in execution style, speed, viewpoint, sensor noise, occlusion, and the need for real-time
Gesturematching sits at the intersection of pattern recognition, sequence alignment, and human–computer interaction, and continues to