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Interactions Between Heavy Trucks and Vulnerable Road Users—A Systematic Review to Inform the Interactive Capabilities of Highly Automated Trucks

Victor Fabricius, Azra Habibovic, Daban Rizgary, Jonas Andersson, Pontus Wärnestål
2022 Frontiers in Robotics and AI  
These cues are predominantly based on road user trajectories and movements (i.e., kinesics/proxemics nonverbal behavior) forming implicit communication, which indicates that this is the primary mechanism  ...  Based on these findings, it is likely that road user trajectories and kinematic behaviors will form the basis for communication also for highly automated HGV-VRU interaction.  ...  ACKNOWLEDGMENTS The authors are grateful for the insightful comments provided by the reviewers and to Joshua Bronson for proofreading the manuscript.  ... 
doi:10.3389/frobt.2022.818019 pmid:35316985 pmcid:PMC8934416 fatcat:iam7aesqhvaarmm2cxwy2g6n3q

Patient-Centric Care for Parkinson's Disease: From Hospital to the Community

Yin Minn Aye, Sylvia Liew, Shermyn Xiumin Neo, Wei Li, Hwee-Lan Ng, Shu-Ting Chua, Wen-Tao Zhou, Wing-Lok Au, Eng-King Tan, Kay-Yaw Tay, Louis Chew-Seng Tan, Zheyu Xu
2020 Frontiers in Neurology  
However, attaining MDT care in the community setting is difficult to achieve where there is a shortage of PD-trained professionals.  ...  As such, interdisciplinary and transdisciplinary management would be other best practice options to deliver patient-centric care in PD.  ...  The NNI oversees the training competency of our community partners in the form of yearly hands-on educational seminars conducted by our hospital-based MDT team.  ... 
doi:10.3389/fneur.2020.00502 pmid:32582014 pmcid:PMC7296117 fatcat:blm2rkc6tbe2jbmdlbexdxwrqu

Sensing spatial and temporal coordination in teams using the smartphone

Sebastian Feese, Michael Joseph Burscher, Klaus Jonas, Gerhard Tröster
2014 Human-Centric Computing and Information Sciences  
Acknowledgements The authors would like to thank all members of the Zurich fire brigade for their participation and support throughout the experiments.  ...  In typical office work, body movement itself is not a driving process behind team performance.  ...  A second web server provided a web-based user interface that offered real-time monitoring of the system.  ... 
doi:10.1186/s13673-014-0015-9 fatcat:cqb4mmdf3vcjdogycucsrgfdiu

Internet of Things for Smart Community Solutions

Dhananjay Singh, Mario Divan, Madhusudan Singh
2022 Sensors  
Conflicts of Interest: The authors declare no conflict of interest.  ...  This proposed system can geographically proximate IoT devices movement to other location and conducts location update in a distributed manner.  ...  in massive machine type communication (mMTC) systems.  ... 
doi:10.3390/s22020640 pmid:35062602 pmcid:PMC8777598 fatcat:7jpdw7synvbr7fneq7etajzor4

A survey on smartphone-based systems for opportunistic user context recognition

Seyed Amir Hoseini-Tabatabaei, Alexander Gluhak, Rahim Tafazolli
2013 ACM Computing Surveys  
The remainder of this article is organised according to the architecture of mobile phone-centric user context recognition systems.  ...  academic research communities [Eagle and Pentland, 2006 ].  ...  The ability of Bluetooth to sense the presence of other devices in close proximity to the user has been widely employed in social intelligence applications.  ... 
doi:10.1145/2480741.2480744 fatcat:ei7xqnndkfbu5mwvasauj7ughq

Seven Years after the Manifesto: Literature Review and Research Directions for Technologies in Animal Computer Interaction

Ilyena Hirskyj-Douglas, Patricia Pons, Janet Read, Javier Jaen
2018 Multimodal Technologies and Interaction  
Technologies that are analysed include tangible and physical, haptic and wearable, olfactory, screen technology and tracking systems.  ...  Whilst motivation for animal-computer technologies is often welfare based [5] , ACI also attends to other aspects, including the pet entertainment and holistic well-being sectors where many commercially  ...  The authors would also like to thank Patrizia Paci for her contribution during the beginning stages of this review. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/mti2020030 fatcat:nr2ppvn3brbgvifezuxpphfgxy

Characterising contact in disease outbreaks via a network model of spatial-temporal proximity [article]

Ashleigh C Myall, Robert L Peach, Yu Wan, Siddharth Mookerjee, Elita Jauneikaite, Frankie Bolt, James Richard Price, Frances Davies, Andrea Yeong Wiesse, Alison Holmes, Mauricio Barahona
2021 medRxiv   pre-print
Here, we present our Spatial-temporal Epidemiological Proximity (StEP) model to recover contact maps in disease outbreaks based on movement data.  ...  The StEP model accounts for imperfect data by considering probabilistic contacts between individuals based on spatial-temporal proximity of their movement trajectories, creating a robust movement network  ...  A pairwise proximity between infected individuals can be computed based on their movement histories across the effective distance network.  ... 
doi:10.1101/2021.04.07.21254497 fatcat:ylrk4ye6bvdh3i66nboekvktgy

Exploratory design and evaluation of a homecare teleassistive mobile robotic system

F. Michaud, P. Boissy, D. Labonté, S. Brière, K. Perreault, H. Corriveau, A. Grant, M. Lauria, R. Cloutier, M.-A. Roux, D. Iannuzzi, M.-P. Royer (+3 others)
2010 Mechatronics (Oxford)  
system.  ...  Based on the progress made so far, the paper outlines issues that will be addressed in future work with the objective of coming up with a complete, efficient and usable in-home teleassistance mobile robotic  ...  The authors wish to acknowledge the work of Claudia Letendre for her participation in the training of operators and her contribution in the data collection during the usability testing.  ... 
doi:10.1016/j.mechatronics.2010.01.010 fatcat:bmkyvg4govhqjg23cia3fwxttm

An Overspeed Protection Mechanism for Virtual Coupling in Railway

Jing Xun, Mingliang Chen, Yafei Liu, Fan Liu
2020 IEEE Access  
[11] propose a topological manifold-based monitoring method to guarantee the safety of the train-centric VC systems.  ...  movement of the following train.  ...  Author Name: Preparation of Papers for IEEE Access (February 2017) VOLUME XX, 2017 Author Name: Preparation of Papers for IEEE Access (February 2017)  ... 
doi:10.1109/access.2020.3029147 fatcat:vt44xx2cffag3b6u36azoojmv4

Machine Learning for Security in Vehicular Networks: A Comprehensive Survey [article]

Anum Talpur, Mohan Gurusamy
2021 arXiv   pre-print
We first briefly introduce the basics of vehicular networks and different types of communications.  ...  In this paper, we present a comprehensive survey of ML-based techniques for different security issues in vehicular networks.  ...  Platoon Attack: Platoon is a concept of grouping vehicles that travel in the same lane with close proximity and similar speed regulations.  ... 
arXiv:2105.15035v2 fatcat:5z6aqlvosjgf3o3amts3k6toxu

New Open-Source Tools: Using Bonsai for Behavioral Tracking and Closed-Loop Experiments

Gonçalo Lopes, Patricia Monteiro
2021 Frontiers in Behavioral Neuroscience  
The ability to dynamically control a behavioral task based on real-time animal behavior is an important feature for experimental neuroscientists.  ...  of several open-source devices in parallel and design their own integrated custom solutions, enabling unique and flexible approaches to the study of behavior, including video tracking of behavior and closed-loop  ...  AUTHOR CONTRIBUTIONS GL and PM conceptualized and wrote the entire manuscript. All authors contributed to the article and approved the submitted version. .  ... 
doi:10.3389/fnbeh.2021.647640 pmid:33867952 pmcid:PMC8044343 fatcat:4zyg6gwxnfewfg6jblnv3qlqvq

Human-Centric Data Science for Urban Studies

Bernd Resch, Michael Szell
2019 ISPRS International Journal of Geo-Information  
We conclude with a call for a new anti-disciplinary, human-centric urban data science, and a well-reflected use of technology and data collection in smart city planning.  ...  Finally, we introduce the papers of this special issue which focus on providing a more human-centric view on data-driven urban studies, spanning topics from cycling and wellbeing, to mobility and land  ...  [60] developed machine learning techniques to efficiently recognize modes of driving railway trains. Maeda et al.  ... 
doi:10.3390/ijgi8120584 fatcat:nvqowuwimnaz5d3lhd36nxz4ci

6G Internet of Things: A Comprehensive Survey

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia Dobre, H. Vincent Poor
2021 IEEE Internet of Things Journal  
systems.  ...  , Terahertz communications, massive ultra-reliable and low-latency communications, and blockchain.  ...  Moreover, the rapid development of data-centric intelligent systems exposes new latency limitations of 5G wireless systems.  ... 
doi:10.1109/jiot.2021.3103320 fatcat:fgm4ndqp6napjlt3z4ikthdsfy

Eye Tracking in Maritime Immersive Safe Oceans Technology

Mika Luimula, Evangelos Markopoulos, Johanna K. Kaakinen, Panagiotis Markopoulos, Niko Laivuori, Werner Ravyse
2020 2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)  
The paper indicates the research delivery architecture driven by Hevner's design science in information systems Research for usability, use experience (UX) and effectiveness.  ...  The paper addressees the impact of the eye tracking technology in the maritime sector operations, training market, and competitive research.  ...  ACKNOWLEDGEMENT The authors would like to thank everyone who have participated in the development of this training VR technology.  ... 
doi:10.1109/coginfocom50765.2020.9237854 fatcat:qi5377quxvfzlc6rsyjrahu5iq

Internet of Things in the Railway Domain: Edge Sensing System Based on Solid-State LIDAR and Fuzzy Clustering for Virtual Coupling

Gabriel Mujica, Javier Henche, Jorge Portilla
2021 IEEE Access  
ACKNOWLEDGMENT This article is a result of the SCOTT project which has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 737422 (  ...  Based on the clustering and postprocessing functions on the sensor node, the proximity de-Solid-state LIDAR based edge sensing platform (a) Installation of the distance detection system in train A.  ...  In [11] , from a set of segments (groups of measurements close to each other) special characteristics are extracted based on their form, which are used to locate the segment and detect its movement.  ... 
doi:10.1109/access.2021.3077728 fatcat:r3qi3juoxzhd7ntarz72kguyb4
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