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Kazuki Ebihara

dblp:75/9967 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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

Artificial intelligence and machine learning · 3Systems, architecture and hardware · 2Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 1

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
Human-robot interaction · 67% Learning and educational technologies · 33%
Artificial intelligence
1 paper
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction › healthcare robotics
medical robotics
0.112011
Development of the airway management training system WKA-4: For improved high-fidelity reproduction of real patient conditions, and improved tongue and mandible mechanisms · ICRA 2011
Learning and educational technologies › medical training
medical training systems
0.112011
Development of the airway management training system WKA-4: For improved high-fidelity reproduction of real patient conditions, and improved tongue and mandible mechanisms · ICRA 2011
Human-robot interaction › healthcare robotics
patient robot
0.112011
Development of the airway management training system WKA-4: For improved high-fidelity reproduction of real patient conditions, and improved tongue and mandible mechanisms · ICRA 2011
Robotics › Robot manipulation › robot design
mechanism design
0.012011
Development of the airway management training system WKA-4: For improved high-fidelity reproduction of real patient conditions, and improved tongue and mandible mechanisms · ICRA 2011

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

force control · 0.2embedded sensors and actuators · 0.2
YearPublicationVenuePosition
2012 Development of an arm robot for neurologic examination training
abstract
Neurologic examination takes an important role in diagnosis of the nerve system diseases. Neurologic medical staffs, especially the novices, need to be trained on this skill. There are many methodologies which can help to accumulate experiences, such as watching video, reading books, making use of the simulated patient (SP), and so on. However, the best way is to practice on the real patient. All the above methods have their own drawbacks such as lack of active interactions, limitation of multi-symptoms' reproducing, etc. To improve the training effectiveness, an arm robot is proposed in this paper for neurologic examination training as one part of the whole body patient robot named Waseda Kyotokagaku Patient (WKP). In this robot, various symptoms of the elbow force, biceps tendon reflex, involuntary action, and so on, are simulated and shown to the trainee. Finally, a set of experiments was carried out to verify our proposed mechanism and control system. Three neurologists with over 30 years' experience were invited to show their opinions on the reproductions of patients' symptoms, and to discuss the results. The effectiveness of this system was confirmed. The experimental results lead to the consideration that the approach is worth following in further research.
Chunbao Wang 0001, Yohan Noh, Kazuki Ebihara, Terunaga Chihara, Mitsuhiro Tokumoto, Isamu Okuyama, Yusuke Matsuoka, Hiroyuki Ishii, Atsuo Takanishi, Kazuyuki Hatake, Satoru Shoji
IROS3
2011 Development of the airway management training system WKA-4: For improved high-fidelity reproduction of real patient conditions, and improved tongue and mandible mechanisms
abstract
In recent years advanced robotic technology has seen more use in the medical field to assist in the development of efficient training systems. Such training systems must fulfill the following criteria: they must provide quantitative information, must simulate the real-world conditions of the task, and assure training effectiveness. We developed Waseda Kyotokagaku Airway series to fulfill all of those requirements. The WKA series we had developed does not consider external appearance such as patient skin, or internal appearance such as the pharynx, larynx, and esophagus. Moreover, the tongue mechanism of the previous system can not precisely measure the force applied by medical devices and cannot simulate muscle stiffness. In addition, the mandible mechanism of the previous system could not adequately reproduce various airway difficulties or apply force control. For these reasons, we propose the WKA-4, which has high-fidelity simulated human anatomy, and we have improved the mechanism over the previous system. We have also attached a lung to the proposed system to improve simulation of the real-world conditions of the task. In this paper, we present how to design several organs with various embedded sensors and actuators, for a conventional patient model with high-fidelity simulated human anatomy. We also present the control system for the WKA-4. Finally, we present a set of experiments carried out using doctors as subjects, and they gave their valuable opinions about our system.
Yohan Noh, Kazuki Ebihara, Masanao Segawa, Kei Sato, Chunbao Wang 0001, Hiroyuki Ishii, Jorge Solis 0001, Atsuo Takanishi, Kazuyuki Hatake, Satoru Shoji
ICRA2
2011 Towards high-level, cloud-distributed robotic telepresence: Concept introduction and preliminary experiments
abstract
In this paper we propose the basic concept of a tele-presence system for two (or more) anthropomorphic robots located in remote locations. As one robot interacts with a user, it acquires knowledge about the user's behavior and transfers this knowledge to the network. The robot in the remote location accesses this knowledge and according to this information emulates the behavior of the remote user when interacting with its partner. The behavioral patterns are grouped into macro-behavior units (maBUs) and mirco-behavior units (miBUs). maBUs carry information that is specific to a person-to-person communication. miBUs are commonly used behavior patterns within a certain cultural environment (e.g. handshake, bow etc). maBUs are usually chains of miBUs. miBUs are chains of expression actions (e.g. gesture, facial expression etc.). The idea behind this is, that human communication contains several levels or layers of information exchange. This to be emulated by implementing the concept of miBUs and maBUs. We present a preliminary application of this concept to a musical context. The rhythmic motion of a drum-stick during the performance of a drum rhythm by a musician is recorded by a inertial measurements unit and transmitted between two far distance locations (Waseda University in Japan and Karlsruhe Institute of Technology in Germany) using three different transmission methods: direct raw data transmission, miBU based transmission and maBU-based transmission. We present experimental results that show quantitative data to evaluate the suitability of our approach, with the overall goal to implement a telepresence system of larger scale.
Klaus Petersen, Kotaro Fukui, Zhuohua Lin, Nobutsuna Endo, Kazuki Ebihara, Hiroyuki Ishii, Massimiliano Zecca, Atsuo Takanishi, Tamim Asfour, Rüdiger Dillmann
RO-MAN5