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A survey of depth and inertial sensor fusion for human action recognition

Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
2015 Multimedia tools and applications  
Theodoridis T, Agapitos A, Hu H, Lucas SM (2008) Ubiquitous robotics in physical human action recognition: a comparison between dynamic anns and gp. In: Robotics and Automation, 2008.  ...  In [52] and [49], each gesture was considered to consist of three phases: pre-stroke, nucleus, and post-stroke. Each phase was modeled as an HMM.  ... 
doi:10.1007/s11042-015-3177-1 fatcat:3m6xzmkpszbnjbp643wgnh5ru4

Space-Time Representation of People Based on 3D Skeletal Data: A Review [article]

Fei Han, Brian Reily, William Hoff, Hao Zhang
2017 arXiv   pre-print
Recently, skeleton-based human representations have been intensively studied and kept attracting an increasing attention, due to their robustness to variations of viewpoint, human body scale and motion  ...  perspectives, including information modality, representation encoding, structure and transition, and feature engineering.  ...  Fujita, Digital creatures for future entertainment robotics, in: IEEE sion, in: IEEE Conference on Computer Vision and Pattern Recognition, International Conference on Robotics and Automation  ... 
arXiv:1601.01006v3 fatcat:zgpmw3xqunajtctu4e7minjyx4

Table of contents

2010 ICCAS 2010  
Lee FP06-5 ZMP Analysis for Dynamic Walking of a Passivity-based Biped Robot with Flat Feet 1419 Nima Fatehi, Adel Akbarimajd and Masoud Asadpour FP07 : Vision Based Recognition FP07-1 Detecting  ...  Search Algorithm Ho-Yong Seo, Ho-Hyun Lee and Ju-Jang Lee FE07-4 Human Posture Recognition using Top-view Vision for Intelligence Space Environment 1687 Weerachai Skulkittiyut and Makoto Mizukawa  ... 
doi:10.1109/iccas.2010.5669694 fatcat:43uj6owxh5c63gr2mn5shli5ja

Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks

Koenraad Vandevoorde, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, Wolfram Schenck
2022 Sensors  
In this review, we show how modern technologies can support people in learning new motor skills. First, we introduce important concepts in motor control, motor learning and motor skill learning.  ...  Humans learn movements naturally, but it takes a lot of time and training to achieve expert performance in motor skills.  ...  The funders had no role in the design of the study; in the collection, analyses or interpretation of the data; in the writing of the manuscript or in the decision to publish the results.  ... 
doi:10.3390/s22072481 pmid:35408094 pmcid:PMC9002555 fatcat:ku34qggs4zasncicwjrlucla4m

IoT-Enabled Smart Wearable Devices: A Short Review

Karan Hiware
2020 International Journal for Research in Applied Science and Engineering Technology  
and unobstructed vision.  ...  This paper is useful to get an in-depth explanation about smart wearables and to know hardware and software components required to design wearable devices that are listed in the final summary table. 2127  ...  It is used for stroke and posture recognition, providing analysis in swimming.  ... 
doi:10.22214/ijraset.2020.30779 fatcat:yw37usltwnf75o4z2agyh4flei

Vision and Inertial Sensing Fusion for Human Action Recognition : A Review [article]

Sharmin Majumder, Nasser Kehtarnavaz
2020 arXiv   pre-print
This paper provides a survey of the papers in which vision and inertial sensing are used simultaneously within a fusion framework in order to perform human action recognition.  ...  Many papers have appeared in the literature showing that the fusion of vision and inertial sensing improves recognition accuracies compared to the situations when each sensing modality is used individually  ...  The existing survey papers on human action recognition are listed in Table I.  ... 
arXiv:2008.00380v1 fatcat:vvjkrkvkpvbctpi63zoax4pcue

Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
Tennis Strokes Using a Twin Spatio-Temporal Convolutional Neural Networks DAY 3 -Jan 14, 2021 Martins Camboim de Sá, Jáder; Luis Debiaso Rossi, Andre; Enrique de Almeida Prado Alves Batista,  ...  of Table Tennis ball from a single camera DAY 2 -Jan 13, 2021 Sanchez Belenguer, Carlos; Wolfart, Erik; Casado Coscollá, Álvaro; Sequeira, Vitor 2626 RISEdb: A Novel Indoor Localization Dataset  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm

Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance

Rajesh Amerineni, Lalit Gupta, Nathan Steadman, Keshwyn Annauth, Charles Burr, Samuel Wilson, Payam Barnaghi, Ravi Vaidyanathan
2021 Sensors  
Veracity is demonstrated in action classification related to sport, specifically strikes in boxing and taekwondo.  ...  in conjunction with the input models.  ...  Acknowledgments: We gratefully acknowledge Master Luke Jamie Robinson and all the athletes at Titan Academy who participated in data collection, testing, and refinement and the Imperial College London  ... 
doi:10.3390/s21248409 pmid:34960500 pmcid:PMC8706912 fatcat:qdm4m2gehvbeffgzqhszm3xq5a

A Deep Learning Approach for Table Tennis Forehand Stroke Evaluation System Using an IMU Sensor

Sahar S Tabrizi, Saeid Pashazadeh, Vajiheh Javani
In this paper, a study was performed to develop a Forehand stroke' performance evaluation system as the second principal component of the virtual-coach Table Tennis shadow-play training system.  ...  This study was conducted to show the effectiveness of the proposed LSTM model, compared with 2DCNN and RBF-SVR time-series analysis and machine learning methods, in evaluating the Table Tennis Forehand  ...  Iran TTF in Tabriz who participated in this study, and the coaches who supervised and designed the data collection phase.  ... 
doi:10.1155/2021/5584756 pmid:33868398 pmcid:PMC8033526 fatcat:oc2xa35pszdidiqfqb46ztngs4

Sensing through structure

Ronit Slyper, Ivan Poupyrev, Jessica Hodgins
2011 Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction - TEI '11  
Finally, we rethink this vocabulary and apply it to capturing, using air pressure sensors, manipulations of hollow 3D-printed rubber shapes, and 3D-print several interactive robots incorporating the new  ...  Our processors that implement Turing machines, in all their complexity, are built from transistors implementing gates of {and, or, not}.  ...  Our work has also been combined with video: Conaire and colleagues extended our ideas to apply to tennis, using accelerometers and video to classify tennis strokes [Ó Conaire et al. 2010 ].  ... 
doi:10.1145/1935701.1935744 dblp:conf/tei/SlyperPH11 fatcat:edj74amzfvcuxo33qirabtivsm

Teaching a Powered Prosthetic Arm with an Intact Arm Using Reinforcement Learning

Gautham Vasan
Even though sophisticated upper extremity prostheses like the Modular Prosthetic Limb (MPL) are capable of effecting almost all of the movements as a human arm and hand, they can be useful only if robust  ...  The fundamental issue is that there is a significant mismatch between the number of controllable functions available in modern prosthetic arms and the number of control signals that can be provided by  ...  and finally drop it on the table.  ... 
doi:10.7939/r3gf0n94h fatcat:ui6moglfcjbcxp5xn566h2sizm

Interactive Systems Based on Electrical Muscle Stimulation

Pedro Lopes, Patrick Baudisch
2017 Computer  
a b a Besides IMUs, researchers also rely on computer vision on wearables that track the user's lims.  ...  Wearables with motion tracking (IMUs and computer vision) Today, many commodity devices are able to track the user's motion using internal measurement units (IMUs), which are circuits that measure motion  ... 
doi:10.1109/mc.2017.3641627 fatcat:k43dcbdgcbecrm6phgee4ohiv4

Strengthening human-robot symbiosis through multimodal sensing

Daniel Freer, Benny Lo
Finally, CV-based robotic hand shaping was shown to be a promising way to achieve a robust grasp with a five-fingered gripper.  ...  The advancements made by studying each of these platforms and sensors provide a new link between humans and robots, which in turn creates more shared understanding between the biological and digital domains  ...  Object Recognition and Localization The method of object localization and recognition used by a vision system largely depends on the type of camera that is used.  ... 
doi:10.25560/88276 fatcat:apglqtxnk5h2tkyjx7ijtyctoe

Neuro-Fuzzy Grasp Control for a Teleoperated Five Finger Anthropomorphic Robotic Hand

Maxwell Joseph Welyhorsky, University, My
Robots should offer a human-like level of dexterity when handling objects if humans are to be replaced in dangerous and uncertain working environments.  ...  Exact replication of human-like degrees of freedom in mobility for anthropomorphic robotic hands are seen in bulky, costly, fully actuated solutions, while machine learning to apply some level of human-like  ...  Vision As real time video capabilities and data speed have increased, vision-based manipulation is now more effectively used in industrial robotics allowing for improved precision and productivity [29  ... 
doi:10.20381/ruor-26783 fatcat:olwpcxr7jbgtjl5k2tt5qq26bi

Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects [article]

Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad
The reviewed systems are clustered into four categories depending on the use of input devices like multimodal sensing devices, smartphones, radar, and vision devices.  ...  Human Activity Recognition (HAR) plays a significant role in the everyday life of people because of its ability to learn extensive high-level information about human activity from wearable or stationary  ...  various types of strokes and events during tennis games [150] - [152] .  ... 
doi:10.48550/arxiv.2202.03274 fatcat:upyortr5lvcipdfrg2lxtiswlq
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