647 Hits in 6.5 sec

GCCE 2020 Subject Index

2020 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)  
Residents Using the International Standard ECHONET Lite Research on the Less Stress Acquisition Method for the Activity Information of Actual Residents Using the International Standard ECHONET Lite S 3 7 A  ...  Based Emotion Recognition System Auditory Physiology Based Emotion Recognition System Automatic Detection of Chewing and Swallowing Using Hybrid CTC/Attention Automatic Generation of Art Exhibitions from  ...  Design and Implementation of Data Communication and Compression Methods in SIGMA Framework Design of a Data Auto-Select System Using Data Catalog for Smart Home Design of a Data Auto-Select System  ... 
doi:10.1109/gcce50665.2020.9291796 fatcat:bmnnn7xnxrefhaneq262fe4i6u

Perceived Safety in Physical Human Robot Interaction – A Survey [article]

Matteo Rubagotti, Inara Tusseyeva, Sara Baltabayeva, Danna Summers, Anara Sandygulova
2021 arXiv   pre-print
Then, the available methods to assess perceived safety (i.e., questionnaires, physiological measurements, behavioral assessment, and direct input devices) are described.  ...  This review paper focuses on different aspects of perceived safety for a number of autonomous physical systems.  ...  Selected works on industrial manipulators The focus of Kulic and Croft [20, 24] was the detection of anxiety and fear in the presence of a moving CRS 460 manipulator both via a questionnaire, and via  ... 
arXiv:2105.14499v1 fatcat:3tyv4wmhtzg7pihnpbgka6t2ka

Kinetic and Kinematic Features of Pedestrian Avoidance Behavior in Motor Vehicle Conflicts

Quan Li, Shi Shang, Xizhe Pei, Qingfan Wang, Qing Zhou, Bingbing Nie
2021 Frontiers in Bioengineering and Biotechnology  
posture parameters (joint positions and angles), and pedestrian muscle activation levels—using a motion capture system and physiological signal system.  ...  However, the biomechanical features of these behaviors remain unquantified, leading to a gap in the development of biofidelic research tools and tailored protection for pedestrians in real-world traffic  ...  posture parameters (joint positions and angles), and pedestrian muscle activation levels—using a motion capture system and physiological signal system.  ... 
doi:10.3389/fbioe.2021.783003 pmid:34900972 pmcid:PMC8655905 fatcat:5stbodxb55elnp5fdbtvzxcihe

Thermal cameras and applications: a survey

Rikke Gade, Thomas B. Moeslund
2013 Machine Vision and Applications  
Applications include animals, agriculture, buildings, gas detection, industrial, and military applications, as well as detection, tracking, and recognition of humans.  ...  This type of camera was originally developed as a surveillance and night vision tool for the military, but recently the price has dropped, significantly opening up a broader field of applications.  ...  In [135] they propose a detection system based on histogram of oriented phase congruency and a SVM classifier for classification of pedestrians. [16] proposes a pedestrian detection system with detection  ... 
doi:10.1007/s00138-013-0570-5 fatcat:pnln65h2ovcfrophfy2eijcbue

2021 Index IEEE Robotics and Automation Letters Vol. 6

2021 IEEE Robotics and Automation Letters  
Su, Y., +, LRA Oct. 2021 8094-8101 Legged locomotion A Unified MPC Framework for Whole-Body Dynamic Locomotion and Manipulation.  ...  ., +, LRA Oct. 2021 8078-8085 A Recipe for Electrically-Driven Soft Robots via 3D Printed Handed Shearing Auxetics.  ... 
doi:10.1109/lra.2021.3119726 fatcat:lsnerdofvveqhlv7xx7gati2xu

New approaches to evacuation modelling for fire safety engineering applications

Enrico Ronchi, Alessandro Corbetta, Edwin R. Galea, Max Kinateder, Erica Kuligowski, Denise McGrath, Adam Pel, Youssef Shiban, Peter Thompson, Federico Toschi
2019 Fire safety journal  
The feedback received during the workshop is discussed through a set of insights which might be useful for the future developments of evacuation models for fire safety engineering.  ...  This included the feasibility of development/application of modelling methods based on fields other than FSE as well as a discussion on their implementation strengths and limitations.  ...  Acknowledgements This paper presents the findings of a workshop conducted as part of the Symposium of the International Association for Fire Safety Science (IAFSS).  ... 
doi:10.1016/j.firesaf.2019.05.002 fatcat:vbfdsdbosrfpzng6ypywmd3sne


Swapnil Sayan Saha, Sandeep Singh Sandha, Luis Antonio Garcia, Mani Srivastava
2022 Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies  
In this paper, we introduce TinyOdom, a framework for training and deploying neural inertial models on URC hardware.  ...  Specifically, we consider four applications: pedestrian, animal, aerial, and underwater vehicle dead-reckoning.  ...  ACKNOWLEDGMENTS We thank the Structures-Computer Interaction Laboratory at the University of California -Los Angeles for providing us with their agricultural robot to perform real-world evaluation of our framework  ... 
doi:10.1145/3534594 fatcat:n2nbtuf73nbl3jg7qj2cmd36mq

Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice [article]

Amir Rasouli, John K. Tsotsos
2018 arXiv   pre-print
In this literature review we aim to address the interaction problem between pedestrians and drivers (or vehicles) from joint attention point of view.  ...  The interaction between road users is a form of negotiation in which the parties involved have to share their attention regarding a common objective or a goal (e.g. crossing an intersection), and coordinate  ...  [598] , via using a SVM algorithm, classify pedestrian posture as about to cross or not crossing.  ... 
arXiv:1802.02522v2 fatcat:nzeq5eleajcktjl32m2kyqu7rq

A Review on Measuring Affect with Practical Sensors to Monitor Driver Behavior

Welch, Harnett, Lee
2019 Safety  
Toward such vehicles, this paper provides a review of emerging sensor technologies for driver monitoring. In our research, we look at sensors used in affect detection.  ...  Using sensors to monitor signals produced by drivers is a way to help better understand how emotions contribute to unsafe driving habits.  ...  For example, a wearable capacitive sensor was demonstrated to detect restless leg motion [87] .  ... 
doi:10.3390/safety5040072 fatcat:dntka35d3fb3bf7ficwsmzatkm

Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review

Steffen Leonhardt, Lennart Leicht, Daniel Teichmann
2018 Sensors  
., heart activity, breathing activity, temperature and potentially oxygen saturation) in a car seat.  ...  unobtrusive sensing modalities are always fragile and at risk of being contaminated by disturbances (like motion, rapidly changing environmental conditions, triboelectricity), the scope of the paper includes a  ...  A driven right leg electrode (referred to as driven ground plane) was also placed in the backrest around the electrodes, as in this design the seat was already carrying an EMFi TM foil (Emfit Ltd., Konttisentie  ... 
doi:10.3390/s18093080 pmid:30217062 pmcid:PMC6163776 fatcat:mlt53o43mfdbjfvuvqruilcmxa

A Review and Classification of Assisted Living Systems

Caroline Byrne, Rem Collier, Gregory O'Hare
2018 Information  
Europe's social agenda for the "active elderly" is based upon a series of programs that provide a flexible infrastructure for their lives so that they are motivated, engaged in lifelong learning, and contributing  ...  This paper reviews research conducted within the area of AAL, and offers a taxonomy within which such systems may be classified.  ...  reminders via a tablet.  ... 
doi:10.3390/info9070182 fatcat:2kbhlb6qtrfp5nkzkqiyscqdrq

A Survey of Human Gait-Based Artificial Intelligence Applications

Elsa J. Harris, I-Hung Khoo, Emel Demircan
2022 Frontiers in Robotics and AI  
We discuss the machine learning techniques that have been used with a focus on the tasks they perform, the problems they attempt to solve, and the trade-offs they navigate.  ...  Our goal is to provide a single broad-based survey of the applications of machine learning technology in gait analysis and identify future areas of potential study and growth.  ...  via an indoor positioning algorithm, and to set the alarm off via a fire detection algorithm (Hsu et al., 2017) .  ... 
doi:10.3389/frobt.2021.749274 pmid:35047564 pmcid:PMC8762057 fatcat:mqvy5qpcsjgfhdj4mw3altiroe

IoT-Enabled Smart Wearable Devices: A Short Review

Karan Hiware
2020 International Journal for Research in Applied Science and Engineering Technology  
of the complete system, as well as the architecture of the proposed system that allows for a discreet evaluation of physiological biomarkers, makes it a good candidate for remote health monitoring [28  ...  It has four frameworks i.e. server communication, user interaction, cross-platform communication, and indoor localization.  ...  They have also built a process to identify and recognize leg and arm actions and introduce a gesture identification for the shooting arm based on the LCSS (longest common subsequence) algorithm.  ... 
doi:10.22214/ijraset.2020.30779 fatcat:yw37usltwnf75o4z2agyh4flei

Prevention and Resolution of Conflicts in Social Navigation – a Survey [article]

Reuth Mirsky and Xuesu Xiao and Justin Hart and Peter Stone
2022 arXiv   pre-print
As a result, there has a been a recent surge of research on social navigation in general, and especially on how to handle conflicts between agents in social navigation.  ...  It starts by defining a conflict in social navigation, and offers a detailed taxonomy of its components.  ...  distance to pedestrians.  ... 
arXiv:2106.12113v2 fatcat:362bj4fvezbrzdjwhbtswzimii

Physiological Markers of Motor Inhibition during Human Behavior

Julie Duque, Ian Greenhouse, Ludovica Labruna, Richard B. Ivry
2017 Trends in Neurosciences  
food or drinking too much alcohol), or interrupt ongoing actions that are no longer appropriate (e.g. aborting a foot movement towards the accelerator when a pedestrian suddenly runs into the street).  ...  We discuss how these physiological results have motivated theoretical models of how the brain selects actions, regulates movement initiation and execution, and switches from one state to another.  ...  Nonetheless, the spotlight model underscores the important point that one must be cautious in inferring a mapping between physiology and function: Inhibition of a physiological measurement (i.e., MEP suppression  ... 
doi:10.1016/j.tins.2017.02.006 pmid:28341235 pmcid:PMC5389740 fatcat:ythgire6qjh6zgsmhhgzv5dbli
« Previous Showing results 1 — 15 out of 647 results