Name
Title | ||
|---|---|---|
A Concise Review On Sensor Signal Acquisition And Transformation Applied To Human Activity Recognition And Human-Robot Interaction |
Abstract | ||
|---|---|---|
Human activitiy recognition deals with the integration of sensing and reasoning aiming to understand better people's actions. Moreover, it plays an important role in human interaction, human-robot interaction, and brain-computer interaction. When these approaches have to be developed, different efforts from signal processing and artificial intelligence are considered. In that sense, this article aims to present a concise review of signal processing in human activitiy recognition systems and describe two examples and applications both in human activity recognition and robotics: human-robot interaction and socialization, and imitation learning in robotics. In addition, it presents ideas and trends in the context of human activity recognition for human-robot interaction that are important when processing signals within that systems. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1177/1550147719853987 | INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS |
Keywords | Field | DocType |
Human activity recognition, human-computer interaction, sensor signals, machine learning | Activity recognition,Signal acquisition,Computer science,Human interaction,Human–computer interaction,Human–robot interaction,Distributed computing | Journal |
Volume | Issue | ISSN |
15 | 6 | 1550-1477 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| María de Lourdes Martínez-Villaseñor | 1 | 26 | 8.35 |
| Hiram Ponce | 2 | 0 | 1.01 |