Foot Placement Prediction for Assistive Walking by Fusing Sequential 3D Gaze and Environmental Context

Predicting the locomotion intent of humans is important for controlling assistive robots. Previous studies have investigated assistive walking on structured terrains, but only a few studies have considered rough terrains. Human intent on rough terrains is more difficult to predict because there is a...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE robotics and automation letters 2021-04, Vol.6 (2), p.2509-2516
Hauptverfasser:	Zhang, Kuangen, Liu, Haiyuan, Fan, Zixuan, Chen, Xinxing, Leng, Yuquan, de Silva, Clarence W., Fu, Chenglong
Format:	Artikel
Sprache:	eng
Schlagworte:	3D gaze Algorithms Cameras Context Foot foot placement prediction intention recognition Legged locomotion Locomotion Predictive control Prosthetics prosthetics and exoskeletons sensor/data fusion Three dimensional models Three-dimensional displays Time dependence Two dimensional displays Walking Windows (intervals)
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!