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Eric Fujiwara

dblp:126/9594 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2019
0000-0001-8169-9738ORCID · verified

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

Human-computer interaction and ubiquitous computing · 3 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorArtificial intelligence and machine learning · 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
3 papers
Wearable and physiological sensing · 78% Haptics and multimodal interaction · 17% Human-robot interaction · 5%
Computer graphics and multimedia
2 papers
Virtual and augmented reality · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › muscle activity sensing
force myography		 0.412019
Haptic Interface Based on Optical Fiber Force Myography Sensor · VR 2019
Wearable and physiological sensing
motion capture		 0.412019
Optical Fiber 3D Shape Sensor for Motion Capture · VR 2019
Haptics and multimodal interaction
tactile sensing		 0.212013
Development of a glove-based optical fiber sensor for applications in human-robot interaction · HRI 2013
Human-robot interaction
physical human-robot interaction		 0.012013
Development of a glove-based optical fiber sensor for applications in human-robot interaction · HRI 2013

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

optical fiber sensing · 0.8bragg grating strain sensing · 0.8optical fiber sensor · 0.2
YearPublicationVenuePosition
2019 Haptic Interface Based on Optical Fiber Force Myography Sensor
abstract
A haptic grasp interface based on the force myography technique is reported. The hand movements and forces during the object manipulation are assessed by an optical fiber sensor attached to the forearm, so the virtual contact is computed, and the reaction forces are delivered to the subject by graphical and vibrotactile feedbacks. The system was successfully tested for different objects, providing a non-invasive and realistic approach for applications in virtual-reality environments.
Eric Fujiwara, Yu Tzu Wu, Matheus Kauê Gomes, Willian Hideak Arita Silva, Carlos Kenichi Suzuki
 VR1
2019 Optical Fiber 3D Shape Sensor for Motion Capture
abstract
An optical fiber 3D shape sensor for motion capture is reported. The probe is comprised of Bragg grating strain sensors embedded into a 3D -printed polymer fiber substrate, allowing for the continuous assessment of the bending magnitude and direction. Moreover, the device was tested on the measurement of the forearm movements, making it possible to correctly replicate the captured motions in an avatar, providing a simple and minimally-invasive approach for applications in virtual reality.
Eric Fujiwara, Yu Tzu Wu, Luiz E. Silva, Hugo E. Freitas, Stenio Aristilde, Cristiano M. B. Cordeiro
 VR1
2013 Development of a glove-based optical fiber sensor for applications in human-robot interaction
Eric Fujiwara, Danilo Yugo Miyatake, Murilo Ferreira Marques Santos, Carlos Kenichi Suzuki
 HRI1