Abstract | ||
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Electrical stimulation is a well-known technology in medicine used for stimulating human muscles that has been applied in rehabilitation. Recently, electrical stimulation has been spotlighted for generating haptic sensations in human interface applications. Existing methods of generating haptic sensations are mainly mechanical. However, electrical stimulation can generate much stronger stimulation than mechanical force generators with the same energy. In this study, we consider applications of electrical stimulation to skill learning. Through simple tasks to learn trajectory, we assessed the learning rate using electrical stimulation compared with learning using vibration. |
Year | DOI | Venue |
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2017 | 10.1145/3041164.3041197 | AH |
Field | DocType | Citations |
Computer vision,Wearable computer,Simulation,Computer science,Artificial intelligence,Vibration,Stimulation,Trajectory,Haptic technology,Human interface device | Conference | 2 |
PageRank | References | Authors |
0.49 | 4 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sho Tatsuno | 1 | 3 | 1.20 |
Tomohiko Hayakawa | 2 | 3 | 2.23 |
Masatoshi Ishikawa | 3 | 903 | 163.13 |