A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training
2020
Applied Sciences
Preserved Fulltext
Sport domains in which SST is already used are presented, and phases of training are identified, together with the maturity of SST methods. ...
Intelligent data analysis methods are presented, which are currently used in the field of Smart Sport Training (SST). ...
The system proposes varied objectives, without repeating the lessons to trainers, via the utilization same exercises. of case-based reasoning. [130] Archery SVM Predicting the class of archers based Archers ...
doi:10.3390/app10093013
fatcat:mjdbbec6orb6rlk2zbgmzqjcfa
Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance
2018
Journal of Sports Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
A kernel form of the Support Vector Machine algorithm was used in 53% of IMU and 50% of vision-based studies. ...
The implementation of automated detection and recognition of sport-specific movements overcomes the limitations associated with manual performance analysis methods. ...
A review on human activity 1027 recognition using vision-based method. Journal of Healthcare Engineering, 2017, 1-31. ...
doi:10.1080/02640414.2018.1521769
pmid:30307362
fatcat:h3flbavuivbilbo6ekwvmnjg6i
Using Opponent Modeling to Adapt Team Play in American Football
[chapter]
2014
Plan, Activity, and Intent Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this chapter, we introduce several methods for using opponent modeling, in the form of predictions about the players' physical movements, to learn team policies. ...
An issue with learning effective policies in multi-agent adversarial games is that the size of the search space can be prohibitively large when the actions of both teammates and opponents are considered ...
The views expressed in this document are those of the authors and do not reflect the official policy or position of the United States Air Force, Department of Defense, or the U.S. Government. ...
doi:10.1016/b978-0-12-398532-3.00013-0
fatcat:obft3365vrhvnkmi6ho75ycpwm
Basketball Activity Recognition using Wearable Inertial Measurement Units
2015
Proceedings of the XVI International Conference on Human Computer Interaction - Interacción '15
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Camera-based techniques are the most spread method to evaluate although frequently this method can be cumbersome and, furthermore, specific movements where performance is analyzed are not possible to distinguish ...
Analysis of human movement is a growing research area within the field of sport monitoring which aims to enhance the performance of athletes, predicting injuries or optimizing training programs. ...
We use LibSVM library [16] to implement the multi-class SVM classifier. In Figure 7 , the actual and predicted labels of standing and moving of one player are depicted. ...
doi:10.1145/2829875.2829930
dblp:conf/interaccion/NguyenMCPSC15
fatcat:pn6jneg7wrbabgrcbwyui4uvm4
A Study of Vision based Human Motion Recognition and Analysis
2016
International Journal of Ambient Computing and Intelligence (IJACI)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2016 pre-print arXiv:1608.06761v1 fatcat:y36jyqu25bewxa3svmgbutrtd4
The paper emphasizes on human motion representation and the recognition methods along with their advantages and disadvantages. ...
Vision based human motion recognition has fascinated many researchers due to its critical challenges and a variety of applications. ...
Complicated action requires multi layered approaches. Detailed discussion of recognition methods is given in section 3.4. ...
doi:10.4018/ijaci.2016070104
fatcat:doyiyb2fizh75dntg6kvmqoqey
A Novice Guide towards Human Motion Analysis and Understanding
[article]
2015
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
on those that can be useful for computer vision researchers. ...
The purpose of this article is to shed some light on this very important subject, so it can be a good insight for a novice computer vision researcher in this field by providing him/her with a wealth of ...
Examples of pattern-recognition methods include SVM, nearest neighbor, neural networks, and boosting. ...
arXiv:1509.01074v1
fatcat:kpqf277iw5f2bmlmog2ya2awci
Soft computing in intrusion detection: the state of the art
2010
Journal of Ambient Intelligence and Humanized Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The state of the art is explored in using soft computing (SC) methods for network intrusion detection, including the examination of efforts in ten specific areas of SC as well as consecutive, ensemble, ...
Numerous comparisons of these methods are listed followed by a recommendation for future research. This paper can be used as a reference of strategies, and as a resource for planning future research. ...
, Recognition, Substitution, and Rejection rates (RSR), the Predictive Rate Method (PRM), and Rogova's Class Level Method. ...
doi:10.1007/s12652-010-0012-4
fatcat:itlsb2cjm5aybgb6b2a4mmc4o4
Activity representation with motion hierarchies
2013
International Journal of Computer Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We show that pervideo hierarchies provide additional information for activity recognition. ...
We provide an efficient positive definite kernel that computes the structural and visual similarity of two hierarchical decompositions by relying on models of their parent-child relations. ...
Acknowledgements This work was partially funded by the MSR/INRIA joint project, the European integrated project AXES, the PASCAL 2 Network of Excellence, the Gargantua project under program Mastodons of ...
doi:10.1007/s11263-013-0677-1
fatcat:hwagpdkv4jgxfmb7flr5n4m6ny
Wearable Sensing for Solid Biomechanics
2015
IEEE Sensors Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
methods, and different methods for reducing the impact of these sources of errors are described in this review. ...
Conventional laboratorybased biomechanical analysis systems and observation-based tests are only designed to capture brief snapshots of the mechanics of movement. ...
Thus far, model constraints based methods and multi sensor-based methods have been proposed to further reduce drift, while interference estimation based solutions and noise adjustment methods have also ...
doi:10.1109/jsen.2015.2393883
fatcat:sgnyhgnafjhk5ozq4tmvwzbemq
Understanding web images by object relation network
2012
Proceedings of the 21st international conference on World Wide Web - WWW '12
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This paper presents an automatic method for understanding and interpreting the semantics of unannotated web images. ...
We present an automatic system which takes a raw image as input and creates an ORN based on image visual appearance and the guide ontology. ...
Thus we can train a multi-class classifier (based on object visual features) to assign a classification score for each category, and apply the calibration method proposed in [30] to transform these scores ...
doi:10.1145/2187836.2187876
dblp:conf/www/ChenZP12
fatcat:j4dod4u6dfhopg4mfkgj7tq3qq
Review of Wearable Devices and Data Collection Considerations for Connected Health
2021
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The volume of data collected by wearable sensors during long-term assessment of ambulatory movement can become immense in tuple size. ...
These assessments are time consuming and costly and depend on subjective patient recall. Moreover, measurements may not accurately demonstrate the patient's functional ability whilst at home. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21165589
pmid:34451032
pmcid:PMC8402237
fatcat:qubolay6wjb35orvkwtunwz7e4
Unrestricted Bridging Resolution
2018
Computational Linguistics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
However, most of them only consider antecedent selection, assuming that bridging anaphora recognition has been performed. ...
The problem addressed in this thesis is based on her work during her visiting stay at HITS as a Humboldt scholarship holder. She closely guided me in my first year at HITS. ...
This two-stage model significantly outperforms a pairwise model and a reimplementation of a previous rule-based system. ...
doi:10.1162/coli_a_00315
fatcat:ezgwhbvbrffi5jgx3edhigvx4a
North American Society for the Psychology of Sport and Physical Activity Virtual Conference June 9-11, 2021
2021
Journal of Sport & Exercise Psychology (JSEP)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Learning of movements benefits from two parallel brain mechanisms: one that has access to explicit knowledge and benefits from coaching, and another that relies on implicit, unconscious correction. ...
However, it is unclear how these systems interact: does enhancing one system's contributions, for example through instruction, impair the other, or do they learn independently? ...
Coaches' Influence on Team Dynamics in ...
doi:10.1123/jsep.2021-0103
fatcat:6add57uuzja2pcd2qbkc6s5zei
Autonomous Driving in Adverse Weather Conditions: A Survey
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
State-of-the-art techniques on perception enhancement with regard to each kind of weather are thoroughly reported. ...
a holistic overview on the obstacles and directions of ADS development in terms of adverse weather driving conditions. ...
The highlight of this technique to do multi-class weather classification based
sensor is that even with contamination like sawdust ad- on the pre-training of multi-class weather recognition ...
arXiv:2112.08936v1
fatcat:hmgjhywy7rgx3fgrk6yxnu56ie
A Multi-Lingually Applicable Journalist Toolset For The Big-Data Era
2016
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This research was supported in part by a Discovery and Innovation Research Seed award from the Office of the Vice Provost for Research at Cornell. ...
The project Digitale Kuratierungstechnologien is supported by the German Federal Ministry of Education and Research, Unternehmen Region, Wachstumskern-Potenzial (No. 03WKP45). ...
The method we described is based on statistical analysis of words distributions over epochs reflected on the Romanian printing press and a statistical classifier, SVM, for each epoch. ...
doi:10.5281/zenodo.1242850
fatcat:nfkqg7jhjffdvgezdjzc6xxppa
« Previous
Showing results 1 — 15 out of 43 results