Article
Computer Science, Artificial Intelligence
Chuan-Kang Ting
Summary: After attending multiple video conferences and missing IEEE WCCI 2022 due to the COVID-19 pandemic, the author finally had the opportunity to meet with friends and attendees of IEEE SSCI 2022 and A*STAR CFAR AI Symposium in Singapore. The joy of meeting in person was much greater than staring at screens, and happy hour added to the completeness of the seminars. Being able to raise a glass together and say cheers was a wonderful feeling!
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
(2023)
Article
Environmental Studies
David A. Plane, Wangshu Mu
Summary: This paper explores the importance of interactions between virtual and physical worlds, emphasizing the advantages of people-based density measurements in land use policy. It suggests incorporating walking, cycling, and auto-travel densities into the evaluation of land use decisions, providing a unique perspective on spatial interactions and individual experiences.
Article
Computer Science, Artificial Intelligence
Chengyin Hu, Weiwen Shi, Ling Tian
Summary: This study introduces a black-box projector-based physical attack called AdvCP, which manipulates the physical parameters of color projection to execute adversarial attacks. The method achieves remarkable attack success rates in both digital and physical environments.
IMAGE AND VISION COMPUTING
(2023)
Article
Computer Science, Hardware & Architecture
Biao Wang, Haiyong Xu, Gangyi Jiang, Mei Yu, Yeyao Chen, Longwei Ding, Xuebo Zhang, Ting Luo
Summary: This paper proposes a novel underwater image co-enhancement method based on physical-guided Transformer interaction (UICE-PTI), which effectively mines the rich semantic information using a multi-scale encoder-decoder structure. The Dark Channel Prior-guided Transformer (DCPT) module is embedded into the framework to consider the degradation of underwater images related to scene depth. Furthermore, the CS-Transformer block with second-order statistics is proposed to handle the non-local and heterogeneous degradation across different channels and pixels.
Article
Robotics
Niels Dehio, Joshua Smith, Dennis L. Wigand, Pouya Mohammadi, Michael Mistry, Jochen J. Steil
Summary: The paper introduces the concept of Physical Human Multi-Robot Collaboration (PHMRC), emphasizing the physical interaction and implicit communication between multiple collaborative robots and humans. Through a model-based control approach, the effectiveness of multi-robot collaboration in the real world is validated.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
(2022)
Article
Computer Science, Information Systems
Marco Donald Migliore
Summary: This paper organizes a series of concepts concerning the relationships between electromagnetic theory and information transmitted in communication systems through the introduction of the Deep Physical Layer (DPL). It shows that the potential offered by the DPL is expressed at the PL level according to the communication strategy and technology, while the limiting performance of communication systems in terms of data throughput is fixed at the Deep Physical Layer. Lastly, the paper discusses solutions currently investigated in 6G at the level of the Deep Physical Layer, such as holographic antennas, mMIMO, smart surfaces, and comments on antenna synthesis.
Article
Computer Science, Artificial Intelligence
Xingxing Wei, Ying Guo, Jie Yu
Summary: This paper proposes a new type of adversarial sticker that performs physical attacks by manipulating the sticker's position and rotation angle on objects. They also introduce a Region based Heuristic Differential Evolution Algorithm to solve for the sticker's parameters. The proposed method is effective and efficient in complex physical conditions and has good generalization for different tasks.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Chemistry, Analytical
Sergio D. Sierra M, Marcela Munera, Thomas Provot, Maxime Bourgain, Carlos A. Cifuentes
Summary: The use of smart walkers as potential gait assistance devices was studied, with high stiffness mode significantly affecting users' gait pattern, leading to compensatory movements such as tilting the trunk and lower limbs to exert higher impulse forces on the device.
Article
Robotics
Marco Tognon, Rachid Alami, Bruno Siciliano
Summary: Research on physical human-robot interaction has shown the potential of aerial vehicles for interacting with humans. Through an admittance-based controller approach, robots can guide humans to desired positions using forces. The system stability has been formally proven and shown to be robust to various external disturbances.
IEEE TRANSACTIONS ON ROBOTICS
(2021)
Article
Automation & Control Systems
Yanghui Zhu, Qingcong Wu, Bai Chen, Ziyue Zhao, Conghui Liang
Summary: This article presents a variable stiffness knee exoskeleton robot that can independently control stiffness and position. It also proposes a physical human-robot interaction (pHRI) control scheme based on joint torque estimation using the mechanical properties of the exoskeleton. The article further demonstrates the effectiveness of the torque estimation method and the pHRI control scheme through experiments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Xin Zheng, Yanbo Fan, Baoyuan Wu, Yong Zhang, Jue Wang, Shirui Pan
Summary: This study investigates the impact of sticker-based physical attacks on face recognition and proposes a novel robust physical attack framework to simulate adversarial stickers under different physical-world conditions. The Curriculum Adversarial Attack algorithm gradually adapts to environmental variations and improves the attack performance. A standardized testing protocol is constructed for fair evaluation.
PATTERN RECOGNITION
(2023)
Review
Medicine, Research & Experimental
Janet Rubin, Maya Styner
Summary: All organisms respond to physical forces and exist within a physical space. In higher organisms, the skeleton is crucial for mobility and survival. The skeleton has evolved to adapt to different physical stresses in order to support its function. This article explores how cells responsible for remodeling the skeletal structure respond to mechanical forces and how these forces affect cellular structure. It also discusses the effects of these forces on the balance between bone-forming osteoblasts and adipocytes. The article emphasizes the importance of understanding these mechanisms for intelligent exercise prescription.
EXPERIMENTAL BIOLOGY AND MEDICINE
(2022)
Article
Psychology, Experimental
Bridget Mulholland, Ian Goodall-Halliwell, Raven Wallace, Louis Chitiz, Aryanna Rastan, Giulia L. Poerio, Robert Leech, Adam Turnbull, Arno Klein, Michael Milham, Jeffrey D. Wammes, Elizabeth Jefferies, Jonathan Smallwood
Summary: The study found that our thoughts and actions are influenced by the tasks we engage in and the environments we are in. Social activities were shown to have a significant impact on thought patterns. Sampling thinking in real-world settings can help map thoughts to activities, providing valuable insights for researchers and healthcare professionals interested in health and well-being.
CONSCIOUSNESS AND COGNITION
(2023)
Article
Computer Science, Information Systems
Robin Horst, Ramtin Naraghi-Taghi-Off, Linda Rau, Ralf Doerner
Summary: This study explores the outro-transitions from a virtual world back to the physical world in VR experiences. It found that visual cues are useful tools for presenters to request VR users to end a VR session, and non-interactive outro-transitions are preferred by participants over interactive ones.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Wei Jiang, Tianyuan Zhang, Shuangcheng Liu, Weiyu Ji, Zichao Zhang, Gang Xiao
Summary: This study proposes an innovative instant-level data generation pipeline using the CARLA simulator and establishes the Discrete and Continuous Instant-level (DCI) dataset for evaluating the performance of detection models under adversarial attacks. The findings show variations in the impact of different adversarial attack algorithms on the models, higher recognition accuracy in static scenes, and an indication that adversarial attack algorithms may be approaching their limits.
Correction
Neurosciences
Martin Seeber, Reinhold Scherer, Johanna Wagner, Teodoro Solis-Escalante, Gernot R. Mueller-Putz
FRONTIERS IN HUMAN NEUROSCIENCE
(2015)
Article
Engineering, Biomedical
Ian Daly, Reinhold Scherer, Martin Billinger, Gernot Mueller-Putz
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2015)
Article
Neurosciences
Martin Seeber, Reinhold Scherer, Johanna Wagner, Teodoro Solis-Escalante, Gernot R. Mueller-Putz
Article
Multidisciplinary Sciences
Reinhold Scherer, Josef Faller, Elisabeth V. C. Friedrich, Eloy Opisso, Ursula Costa, Andrea Kuebler, Gernot R. Mueller-Putz
Article
Engineering, Biomedical
David Steyrl, Reinhold Scherer, Josef Faller, Gernot R. Mueller-Putz
BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK
(2016)
Article
Neurosciences
Martin Seeber, Reinhold Scherer, Gernot R. Mueller-Putz
JOURNAL OF NEUROSCIENCE
(2016)
Article
Engineering, Biomedical
David Steyrl, Reinhold Scherer, Josef Faller, Gernot R. Mueller-Putz
BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK
(2016)
Article
Biochemistry & Molecular Biology
Reinhold Scherer
Article
Neurosciences
Noemi Massetti, Mirella Russo, Raffaella Franciotti, Davide Nardini, Giorgio Maria Mandolini, Alberto Granzotto, Manuela Bomba, Stefano Delli Pizzi, Alessandra Mosca, Reinhold Scherer, Marco Onofrj, Stefano L. Sensi
Summary: This study used machine learning to predict the conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) and achieved 86% accuracy. Neuropsychological test scores, MRI data, and cerebrospinal fluid biomarkers were found to be the most relevant features for prediction. The study highlights the importance of multiple pathological mechanisms and factors in AD development, which are influenced by age and sex.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
Article
Computer Science, Information Systems
Jose Diogo Cunha, Serafeim Perdikis, Sebastian Halder, Reinhold Scherer
Summary: This study found that ceasing classifier adaptation after a short period had no significant impact on motor imagery-based brain-computer interface training, allowing for further development and utilization of this training approach.
Article
Engineering, Biomedical
Fabien Lotte, Camille Jeunet, Ricardo Chavarriaga, Laurent Bougrain, Dave E. Thompson, Reinhold Scherer, Md Rakibul Mowla, Andrea Kuebler, Moritz Grosse-Wentrup, Karen Dijkstra, Natalie Dayan
BRAIN-COMPUTER INTERFACES
(2019)
Article
Engineering, Biomedical
Ricardo Chavarriaga, Melanie Fried-Oken, Sonja Kleih, Fabien Lotte, Reinhold Scherer
BRAIN-COMPUTER INTERFACES
(2017)
Article
Engineering, Biomedical
Jane E. Huggins, Christoph Guger, Mounia Ziat, Thorsten O. Zander, Denise Taylor, Michael Tangermann, Aureli Soria-Frisch, John Simeral, Reinhold Scherer, Ruediger Rupp, Giulio Ruffini, Douglas K. R. Robinson, Nick F. Ramsey, Anton Nijholt, Gernot Mueller-Putzo, Dennis J. McFarland, Donatella Mattia, Brent J. Lancer, Pieter-Jan Kindermans, Inaki Iturrate, Christian Herff, Disha Gupta, An H. Do, Jennifer L. Collinger, Ricardo Chavarriaga, Steven M. Chase, Martin G. Bleichner, Aaron Batista, Charles W. Anderson, Erik J. Aarnoutse
BRAIN-COMPUTER INTERFACES
(2017)
Proceedings Paper
Engineering, Biomedical
Reinhold Scherer, Josef Faller, Eloy Opisso, Ursula Costa, David Steyrl, Gernot R. Mueller-Putz
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2015)
Proceedings Paper
Engineering, Biomedical
Andreas Schwarz, Reinhold Scherer, David Steyrl, Josef Faller, Gernot R. Mueller-Putz
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2015)
