Selection of features and hidden Markov model parameters for English word recognition from Leap Motion air-writing trajectories

Air-writing recognition is relevant in areas such as natural human-computer interaction, augmented reality, and virtual reality. A trajectory is the most natural way to represent air writing. We analyze the recognition accuracy of words written in air considering five features, namely, writing direc...

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Detalhes bibliográficos

Principais autores:	Deval Verma, Himanshu Agarwal, Amrish Kumar Aggarwal
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Electronics and Telecommunications Research Institute (ETRI) 2024-04-01
coleção:	ETRI Journal
Assuntos:	air writing classification feature selection leap motion controller word recognition
Acesso em linha:	https://doi.org/10.4218/etrij.2022-0266
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