Waseda Bioinstrumentation System WB-2 - the new Inertial Measurement Unit for the new Motion Caption System –

Zecca, Massimiliano; Saito, Minoru; Endo, Nobutsuna; Mizoguchi, Y.; Itoh, Kazuko; Takanobu, Hideaki; Takanishi, Atsuo

doi:10.1109/robio.2007.4522149

Cited by 10 publications

(4 citation statements)

References 12 publications

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“…Some pioneering works focused on the development of a bioinstrumentation system to measure stress levels of operators involved in HRI. [67][68][69] However, to the best authors' knowledge, there are no works in the literature that have proposed new industrial robot prototypes able to recognize operator's affective state.…”

Section: Application Of Affective Computing In Hri: Manufacturing Con...mentioning

confidence: 99%

Applications of affective computing in human-robot interaction: State-of-art and challenges for manufacturing

Gervasi

Barravecchia

Mastrogiacomo

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part B:

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The introduction of collaborative robots aims to make production more flexible, promoting a greater interaction between humans and robots also from physical point of view. However, working closely with a robot may lead to the creation of stressful situations for the operator, which can negatively affect task performance. In Human-Robot Interaction (HRI), robots are expected to be socially intelligent, that is, capable of understanding and reacting accordingly to human social and affective clues. This ability can be exploited implementing affective computing, which concerns the development of systems able to recognize, interpret, process, and simulate human affects. Social intelligence is essential for robots to establish a natural interaction with people in several contexts, including the manufacturing sector with the emergence of Industry 5.0. In order to take full advantage of the human-robot collaboration, the robotic system should be able to perceive the psycho-emotional and mental state of the operator through different sensing modalities (e.g. facial expressions, body language, voice, or physiological signals) and to adapt its behavior accordingly. The development of socially intelligent collaborative robots in the manufacturing sector can lead to a symbiotic human-robot collaboration, arising several research challenges that still need to be addressed. The goals of this paper are the following: (i) providing an overview of affective computing implementation in HRI; (ii) analyzing the state-of-art on this topic in different application contexts (e.g. healthcare, service applications, and manufacturing); (iii) highlighting research challenges for the manufacturing sector.

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Section: Application Of Affective Computing In Hri: Manufacturing Con...mentioning

confidence: 99%

Applications of affective computing in human-robot interaction: State-of-art and challenges for manufacturing

Gervasi

Barravecchia

Mastrogiacomo

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

show abstract

“…Feature extraction takes advantage of the pre-processing data set X i (t), to calculate and analyzed some significant motion feature parameters based on the implementation of human model described in [16,17]. The orientations of subject's upper limbs were estimated by using quaternion-based extended Kalman filter [18].…”

Section: E Feature Extractionmentioning

confidence: 99%

Waseda Bioinstrumentation system WB-3 as a wearable tool for objective laparoscopic skill evaluation

Lin

Uemura

Zecca

et al. 2011

2011 IEEE International Conference on Robotics and Automation

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Performing laparoscopic surgery requires several skills which have never been required for conventional open surgery, surgeons experience difficulties in learning and mastering these techniques. Various training methods and metrics have been developed in order to assess and improve surgeon's operative abilities. While these training metrics are currently widely being used, skill evaluation methods are still far from being objective in the regular laparoscopic skill education. This paper proposes a methodology of defining a model to objectively evaluate surgical performance and skill expertise in the routine laparoscopic training course. Our approach is based on the processing of kinematic data describing the movements of surgeon's upper limbs. An ultra-miniaturized wearable motion capture system (Waseda Bioinstrumentation system WB-3), therefore, has been developed to measure and analyze these movements. The skill evaluation model was trained by using the subjects' motion features acquired from WB-3 system and further validated to classify the expertise levels of the subjects with different laparoscopic experience. An experiment for training fundamental laparoscopic psychomotor skill was elaborated by using laparoscopic box trainer. Preliminary results show that, the proposed methodology can be efficiently used both for quantitative assessment of surgical ability, and for the discrimination between expert surgeons and novices.

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“…One possibility to overcome these limitations and to realize compact measurement systems is nowadays offered by Micro-Electro-Mechanical Systems (MEMS) technology. However, current prototypes such as WB2 [9] and commercial tools such as xSens MTx, InterSense InertiaCube3, and so on, are still too big for a practical application in neurosurgery.…”

Section: Introductionmentioning

confidence: 99%

Development of the Ultra-Miniaturized Inertial Measurement Unit WB3 for Objective Skill Analysis and Assessment in Neurosurgery: Preliminary Results

Zecca

Sessa

Lin

et al. 2009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

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Abstract. In recent years there has been an ever increasing amount of research and development of technologies and methodologies aimed at improving the safety of advanced surgery. In this context, several training methods and metrics have been proposed, in particular for laparoscopy, both to improve the surgeon's abilities and also to assess her/his skills. For neurosurgery, however, the extremely small movements and sizes involved have prevented until now the development of similar methodologies and systems.In this paper we present the development of the ultra-miniaturized Inertial Measurement Unit WB3 (at present the smallest, lightest, and best performing in the world) for practical application in neurosurgery as skill assessment tool. This paper presents the feasibility study for quantitative discrimination of movements of experienced surgeons and beginners in a simple pick and place scenario.

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Waseda Bioinstrumentation System WB-2 - the new Inertial Measurement Unit for the new Motion Caption System –

Cited by 10 publications

References 12 publications

Applications of affective computing in human-robot interaction: State-of-art and challenges for manufacturing

Applications of affective computing in human-robot interaction: State-of-art and challenges for manufacturing

Waseda Bioinstrumentation system WB-3 as a wearable tool for objective laparoscopic skill evaluation

Development of the Ultra-Miniaturized Inertial Measurement Unit WB3 for Objective Skill Analysis and Assessment in Neurosurgery: Preliminary Results

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