Name
Abstract | ||
|---|---|---|
Glove-based systems are an important option in the field of gesture recognition. They are designed to recognize meaningful expressions of hand motion. In our daily lives, we use our hands for interacting with the environment around us in many tasks. Our glove-based gesture recognition is focused on developing technologies for studying the motion and interaction with a data glove which can augment the capabilities of some users to perform some tasks. This idea is relevant to many research areas, for example: design and manufacturing, information visualization, robotics, sign language understanding, medicine and health Care. In this paper, we proposed a new concept grounding approach for glove-based gesture recognition. We record the data from finger sensors and then abstract and extract concepts from the data. This allow us to construct conceptual levels which we can use to study interaction and manipulation for users during their activities. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IE.2011.51 | Intelligent Environments |
Keywords | Field | DocType |
glove-based system,hand motion,data glove,finger sensor,conceptual level,daily life,concept grounding approach,important option,health care,gesture recognition,glove-based gesture recognition,grounding,sign language,machine learning,information visualization,hidden markov models | Wired glove,Information visualization,Expression (mathematics),Computer science,Gesture recognition,Human–computer interaction,Ground,Sign language,Artificial intelligence,Robotics | Conference |
ISBN | Citations | PageRank |
978-0-7695-4452-6 | 3 | 0.45 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huang, Yu | 1 | 5 | 4.54 |
| Dorothy. Monekosso | 2 | 14 | 1.74 |
| Hui Wang | 3 | 340 | 59.46 |
| Juan Carlos Augusto | 4 | 1344 | 145.59 |