Sharing electricity over money: Third-person perspectives on human-robot dictator game outcomes by Andreea E. Potinteu, Nadia Said, Gerrit Anders, Markus Huff

“…Furthermore, the results shed light on the nuanced dynamics of human-robot interaction, enriching our comprehension of how humans navigate social exchanges with artificial agents.…”
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UAV With the Ability to Control with Sign Language and Hand by Image Processing by Hediyeh Hojaji, Alireza Delisnav, Mohammad Hossein Ghafouri Moghaddam, Fariba Ghorbani, Shadi Shafaghi, Masoud Shafaghi

“… Automatic recognition of sign language from hand gesture images is crucial for enhancing human-robot interaction, especially in critical scenarios such as rescue operations. …”
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mmPrivPose3D: A dataset for pose estimation and gesture command recognition in human-robot collaboration using frequency modulated continuous wave 60Hhz RaDARMendeley Data by Nima Roshandel, Constantin Scholz, Hoang-Long Cao, Milan Amighi, Hamed Firouzipouyaei, Aleksander Burkiewicz, Sebastien Menet, Felipe Ballen-Moreno, Dylan Warawout Sisavath, Emil Imrith, Antonio Paolillo, Jan Genoe, Bram Vanderborght

“…3D pose estimation and gesture command recognition are crucial for ensuring safety and improving human-robot interaction. While RGB-D cameras are commonly used for these tasks, they often raise privacy concerns due to their ability to capture detailed visual data of human operators. …”
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An Electronic Slime-Based Epidermal Electrode Using Carbon Nanocomposites for Biosignal Sensing by Yu Feng, Hui Sun, Meng Chen, Cong Wu, Jiankun Li, Zhi Li, Kremena Makasheva, Na Liu, Guanglie Zhang, Wen Jung Li

“…Our results demonstrate the electrode's capability in biosignal sensing, including electrocardiogram (ECG) monitoring with a high signal-to-noise ratio (SNR) of 46dB and electromyogram (EMG) monitoring for real-time human-robot interaction. This work introduces a novel strategy for the design and fabrication of epidermal electrodes, offering high conformability, low impedance, and superior signal quality, which holds significant promise for applications in intelligent healthcare monitoring and human-machine interfaces.…”
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Emerging Risk Management in Industry 4.0: An Approach to Improve Organizational and Human Performance in the Complex Systems by F. Brocal, C. González, D. Komljenovic, P. F. Katina, Miguel A. Sebastián

“…Therefore, the objective of this paper is to propose an organizational and human performance approach to improve the emerging risk management linked to the complex systems, like as Human-Machine Interactions (HMI) and Human-Robot Interaction (HRI). To fulfill this objective, we first introduce the concept of emerging risk linked to human factor. …”
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Hobbit: Providing Fall Detection and Prevention for the Elderly in the Real World by Markus Bajones, David Fischinger, Astrid Weiss, Daniel Wolf, Markus Vincze, Paloma de la Puente, Tobias Körtner, Markus Weninger, Konstantinos Papoutsakis, Damien Michel, Ammar Qammaz, Paschalis Panteleris, Michalis Foukarakis, Ilia Adami, Danai Ioannidi, Asterios Leonidis, Margherita Antona, Antonis Argyros, Peter Mayer, Paul Panek, Håkan Eftring, Susanne Frennert

“…Our trials show the necessity to move out into actual user homes, as only there can we encounter issues such as misinterpretation of actions during unscripted human-robot interaction.…”
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Vocal Communication Between Cobots and Humans to Enhance Productivity and Safety: Review and Discussion by Yuval Cohen, Maurizio Faccio, Shai Rozenes

“…A nuanced understanding is necessary for optimizing human–robot interactions and enhancing overall productivity and safety. …”
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ROBOTISATION AND SERVICE AUTOMATION IN THE TOURISM AND HOSPITALITY SECTOR: A META-STUDY (1993-2024) by Dušan MANDIĆ, Miroslav KNEŽEVIĆ, Dušan BOROVČANIN, Aleksandra VUJKO

“…Despite this growth, gaps remain in experimental robotics research and studies on data privacy, human-robot interactions, and financial viability. …”
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Force Tracking Control of Lower Extremity Exoskeleton Based on a New Recurrent Neural Network by Yuxuan Cao, Jie Chen, Li Gao, Jiqing Luo, Jinyun Pu, Shengli Song

“…It is difficult to develop a precise force tracking control approach for the exoskeleton because of the dynamics model uncertainty, external disturbances, and unknown human–robot interactive force lied in the system. In this paper, a control method based on a novel recurrent neural network, namely zeroing neural network (ZNN), is proposed to obtain the accurate force tracking. …”
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Brain lateralisation feature extraction and ant colony optimisation‐bidirectional LSTM network model for emotion recognition by Woo‐Hyun Hwang, Dong‐Hyun Kang, Deok‐Hwan Kim

“…Abstract The human inner perception is the core technology for human‐robot interactions. Emotion recognition has been established as a representative study for recognising the internal state of human beings in addition to research regarding intention recognition. …”
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Flexible electro-hydraulic power chips by Chao Zhang, Jionghao Chen, Changyi Xu, Tairan He, Xiaolong Zhang, Junhui Zhang, Ximing Sun, Bing Xu, Yi Zhu, Huayong Yang

“…Abstract Emerging soft systems, including soft robots or wearable devices, actuated by fluidic means facilitate a series of inherent benefits, including safe human-robot interactions, lower costs, and adaptability in geometry for manipulating delicate objects. …”
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Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals by Lun Shu, Victor R. Barradas, Zixuan Qin, Yasuharu Koike

“…The development of facial expression recognition (FER) and facial expression generation (FEG) systems is essential to enhance human-robot interactions (HRI). The facial action coding system is widely used in FER and FEG tasks, as it offers a framework to relate the action of facial muscles and the resulting facial motions to the execution of facial expressions. …”
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