Depth features to recognise dyadic interactions

Depth features to recognise dyadic interactions

Usage of depth sensors in activity recognition is an emerging technology in human–computer interaction. This study presents an approach to recognise human‐to‐human interactions by using depth information. Both hand‐crafted features and deep features extracted from depth frames are studied. After sel...

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Bibliographic Details
Main Authors: Ali Seydi Keçeli, Aydın Kaya, Ahmet Burak Can
Format: Article
Language:English
Published: Wiley 2018-04-01
Series:IET Computer Vision
Subjects:
depth feature extraction
dyadic interaction recognition
depth sensors
activity recognition
human-computer interaction
human-to-human interactions
Online Access:https://doi.org/10.1049/iet-cvi.2017.0204

Internet

https://doi.org/10.1049/iet-cvi.2017.0204

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