Analyzing multifunctionality of head movements in face-to-face conversations using deep convolutional neural networks

K Otsuka, M Tsumori - IEEE Access, 2020 - ieeexplore.ieee.org
A functional head-movement corpus and convolutional neural networks (CNNs) for detecting
head-movement functions are presented for analyzing the multiple communicative functions …

Better than you think: head gestures for mid air input

K Plaumann, J Ehlers, F Geiselhart, G Yuras… - … –INTERACT 2015: 15th …, 2015 - Springer
This paper presents a systematical comparison of pointing gestures in the context of
controlling home appliances in smart homes. The pointing gestures were conducted with …

Customized access technology for children using head movement recognition

S Orlandi, F Hotzé, D Lim, SG Estrada… - 2020 42nd Annual …, 2020 - ieeexplore.ieee.org
Children with cerebral palsy and complex communication needs face limitations in their
access technology (AT) usage. Speech recognition software and conventional ATs (eg …

[PDF][PDF] PHD THESIS SUMMARY

EAM FLOREA, IA AWADA - upb.ro
Multimodal interfaces offer multiple ways of interaction between the users and the systems
while at the same time making the interactions more natural for the users and, consequently …

视觉注意力检测技术研究综述

罗元, 陈雪峰, 毛雪峰, 张毅 - Semiconductor Optoelectronics, 2019 - opticsjournal.net
摘要**年来, 为实现服务机器人智能人性化的人机交互, 用户认知障碍诊断等, 视觉注意力(Visual
Focus of Attention, VFOA) 检测技术已成为国内外的热点研究课题. 重点分析了该技术的流程及 …

[PDF][PDF] 頭部動作認識のための自然会話映像データセットの構築と評価

秋山解, アキヤマカイ - 2017 - naist.repo.nii.ac.jp
This study targets at automatic recognition of head gestures in spontaneous human
conversations, for the purpose of understanding human interactions and assisting people in …

[HENVISNING][C] Robotic rehabilitation for cognitive impairment