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Nakamoto Masataka

dblp:71/900 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › haptic device control
grasp force control
0.112006
Reflective Grasp Force Control of Humans Induced by Distributed Vibration Stimuli on Finger Skin with ICPF Actuators · ICRA 2006
Haptics and multimodal interaction › haptic feedback
tactile feedback
0.112006
Reflective Grasp Force Control of Humans Induced by Distributed Vibration Stimuli on Finger Skin with ICPF Actuators · ICRA 2006

Methods — techniques the papers use, named apart from their topics

vibration stimulation · 0.1ICPF actuators · 0.1
YearPublicationVenuePosition
2006 Reflective Grasp Force Control of Humans Induced by Distributed Vibration Stimuli on Finger Skin with ICPF Actuators
abstract
A method is proposed to control human grasping force unconsciously by generating small distributed vibration stimuli on a finger based on a human reflex action against detection of partial slippage of contact. Human beings can increase grasping force before the grasped object slips off the fingers based on afferent signals from tactile receptors that detect the expansion of the partial slippage area. We assumed that vibration stimuli that have an appropriate frequency and distribution generate a virtual sensation of partial slippages and induce a reflective grasping force increase. Grasping experiments with minute distributed vibration stimuli using ICPF (ionic conducting polymer gel film) actuators were performed. Experiments results showed that the effective vibratory frequency was 30 Hz, which is the most sensitive range for Meissner's corpuscles that are closely related to detection of partial slippage. We also found that distribution of vibration stimuli were important to produce human grasping force increase
Nakamoto Masataka, Masashi Konyo, Takashi Maeno, Satoshi Tadokoro
ICRA1