Arbitrary-view human action recognition for human robot interaction
This report presents the development and evaluation of an innovative Arbitrary-view Human Action Recognition (AVHAR) system, utilising the Robomaster Tello Talent for aerial camera feeds. The aim is to enhance capabilities in human-robot interaction by addressing the challenge of recognising human a...
Saved in:
Main Author: | Loh, Zachariah Jin Jun |
---|---|
Other Authors: | Li King Ho, Holden |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/177242 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Materialized view maintenance for XML documents
by: FA YUAN
Published: (2010) -
Human attribute analysis using a top-view camera based on two-stage classification
by: Yamasaki T., et al.
Published: (2018) -
Multi-view human action recognition in meeting scenarios
by: Yin, Haixiang
Published: (2021) -
Human robot interaction : speech recognition
by: Tan, Roland Rustan.
Published: (2011) -
The resource-based view and its use in strategic human resource management research: the elegant and inglorious
by: Shaw, Jason D.
Published: (2022)