Abstract
This paper describes a 4DoF SCARA manipulator robot that is controlled by hand gestures using the SDK of the Kinect v2 sensor. A controller system is proposed that facilitates the inclusion of people with physical disabilities in industrial work environments. The entire system was evaluated in a specific sequence controller remotely by a person standing and sitting. The efficiency to complete the process in a low speed is 99% and at high speed is of 95%.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings |
| Editors | Jose David Cely Callejas |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538683729 |
| DOIs | |
| State | Published - 5 Dec 2018 |
| Externally published | Yes |
| Event | 9th IEEE ANDESCON, ANDESCON 2018 - Cali, Colombia Duration: 22 Aug 2018 → 24 Aug 2018 |
Publication series
| Name | 2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings |
|---|
Conference
| Conference | 9th IEEE ANDESCON, ANDESCON 2018 |
|---|---|
| Country/Territory | Colombia |
| City | Cali |
| Period | 22/08/18 → 24/08/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- assistive technology
- Gesture Recognition
- Kinect
- Robotics manipulator
- Tracking
Fingerprint
Dive into the research topics of 'An Industrial Application of a Human-Robot Interface for People with Physical Disabilities Using Hand Gestures'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver