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Online Gesture Recognition

F. M. Caputo, S. Burato, G. Pavan, T. Voillemin, H. Wannous, J. P. Vandeborre, M. Maghoumi, E. M. Taranta II, A. Razmjoo, J. J. LaViola Jr., F. Manganaro, S. Pini (+6 others)
2019 Eurographics Workshop on 3D Object Retrieval, EG 3DOR  
Unlike previous contests and benchmarks on trajectory-based gesture recognition, we proposed an online gesture recognition task, not providing pre-segmented gestures, but asking the participants to find  ...  This paper presents the results of the Eurographics 2019 SHape Retrieval Contest track on online gesture recognition.  ...  Unlike previous contests and benchmarks on trajectory-based gesture recognition, we proposed an online gesture recognition task, not providing pre-segmented gestures, but asking the participants to find  ... 
doi:10.2312/3dor.20191067 fatcat:q7etatrk7rejjddagihm6wkxnu

Robust Online Gesture Recognition with Crowdsourced Annotations [chapter]

Long-Van Nguyen-Dinh, Alberto Calatroni, Gerhard Tröster
2017 Gesture Recognition  
Crowdsourcing is a promising way to reduce the effort of collecting annotations for training gesture recognition systems.  ...  Crowdsourced annotations suffer from "noise" such as mislabeling, or inaccurate identification of start and end time of gesture instances.  ...  We propose SegmentedLCSS and WarpingLCSS as TMMs for online gesture recognition.  ... 
doi:10.1007/978-3-319-57021-1_18 fatcat:pka7r5k2ura5xfl3izygtijzme

Online human gesture recognition from motion data streams

Xin Zhao, Xue Li, Chaoyi Pang, Xiaofeng Zhu, Quan Z. Sheng
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
Online human gesture recognition has a wide range of applications in computer vision, especially in human-computer interaction applications.  ...  Recent introduction of cost-effective depth cameras brings on a new trend of research on bodymovement gesture recognition.  ...  A scenario of online human gesture recognition from motion data stream is illustrated in Figure 1 . Gesture recognition needs to assign labels to gesture instances.  ... 
doi:10.1145/2502081.2502103 dblp:conf/mm/ZhaoLPZS13 fatcat:qxmj6dkkjveuzl2nph3d2qj6ve

Online Finger Gesture Recognition Using Surface Electromyography Signals

Qiang Li, Bo Li
2013 Journal of Signal and Information Processing  
The analysis on the online finger gesture recognition using multi-channel sEMG signals was explored in this paper.  ...  Nine types of gestures were applied to be identified, involving six kinds of numerical finger gestures and three kinds of hand gestures. The time domain parameters were extracted to be the features.  ...  Conclusion An experimental system of sEMG signals measurement and online gesture recognition was implemented.  ... 
doi:10.4236/jsip.2013.42013 fatcat:iwul2o6gpfa45ady3t27gfwuq4

User-independent online gesture recognition by relative motion extraction

Bisser Raytchev, Osamu Hasegawa, Nobuyuki Otsu
2000 Pattern Recognition Letters  
We propose a new method for user-independent gesture recognition from time-varying images.  ...  The method uses relative motion-dependent feature extraction, together with discriminant analysis and dynamically updated buer structures for providing online learning/recognition abilities.  ...  Conclusion and further work In this paper, we have proposed an online gesture recognition system which operates in realtime.  ... 
doi:10.1016/s0167-8655(99)00134-8 fatcat:bjgrhnfwefczlgg3bl3jtqhk6y

Online hand gesture recognition using neural network based segmentation

Chun Zhu, Weihua Sheng
2009 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems  
In this paper, we propose an online hand gesture recognition algorithm for a robot assisted living system.  ...  A neural network-based gesture spotting method is combined with the hierarchical hidden Markov model (HHMM) to recognize hand gestures.  ...  We proposed an algorithm combining the neural network and the hierarchical hidden Markov model to realize online hand gesture recognition.  ... 
doi:10.1109/iros.2009.5354657 dblp:conf/iros/ZhuS09 fatcat:g3aga5utqze65ncoqzueopbmzq

Online RGB-D gesture recognition with extreme learning machines

Xi Chen, Markus Koskela
2013 Proceedings of the 15th ACM on International conference on multimodal interaction - ICMI '13  
In this paper, we propose a method for online gesture recognition using RGB-D data from a Kinect sensor.  ...  Gesture recognition is needed in many applications such as human-computer interaction and sign language recognition.  ...  In this paper, we use multi-modal data obtained from a Kinect sensor for online gesture recognition.  ... 
doi:10.1145/2522848.2532591 dblp:conf/icmi/ChenK13 fatcat:oig6e6v7kfbrbigk2fsmqay3v4

Continuous pattern detection and recognition in stream - a benchmark for online gesture recognition

Nehla Ghouaiel, Pierre François Marteau, Marc Dupont
2017 International Journal of Applied Pattern Recognition  
Very few benchmark exists for assessing pattern detection and recognition in streams in general and for gesture processing in particular.  ...  We propose a dedicated benchmark based on the construction of isolated gestures and gesture sequences datasets.  ...  BoVW model uses histograms as the features for gestures recognition. In order to count histograms, frames must be segmented first which makes BoVW model not suitable for online gesture recognition.  ... 
doi:10.1504/ijapr.2017.085315 fatcat:tjsrnakxffexrjdpniifply4om

Online Hand Gesture Recognition and Classification for Deaf and Dumb

U. Mamatha
2021 International Journal for Research in Applied Science and Engineering Technology  
In this first we taken the some of the hand gestures are captured using the web camera.  ...  Here we have used a vision based for gesture recognition with the algorithms .Gesture recognition uses the method which would collect the information based on the physical actions and process it and displays  ...  Hand gestures are important which helps them to express their views. In this Human-computer interaction (HCI) plays a significant role in hand gesture recognition.  ... 
doi:10.22214/ijraset.2021.36075 fatcat:nafvhiyfgzhj5gvtbidffr3mpq

Optimized Limited Memory and Warping LCSS for Online Gesture Recognition or Overlearning?

Baptiste Lemarcis, Valère Plantevin, Bruno Bouchard, Bob-Antoine-Jerry Ménélas
2017 Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
In this paper, we present and evaluate a new algorithm for online gesture recognition in noisy streams.  ...  This technique relies upon the proposed LM-WLCSS (Limited Memory and Warping LCSS) algorithm that has demonstrated its efficiency on gesture recognition.  ...  A NEW OPTIMIZED LIMITED MEMORY AND WARPING LCSS APPROACH FOR ONLINE GESTURE RECOGNITION In this section, we introduce the Optimized LM-WLCSS (OLM-WLCSS), our proposed approach for online gesture recognition  ... 
doi:10.5220/0006151001080115 dblp:conf/grapp/LemarcisPBM17 fatcat:vacph5s3cjakfp24qihof6tz3y

Structured Streaming Skeleton -- A New Feature for Online Human Gesture Recognition

Xin Zhao, Xue Li, Chaoyi Pang, Quan Z. Sheng, Sen Wang, Mao Ye
2014 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
Structured Streaming Skeleton -A new feature for online human gesture recognition. ACM Trans. Multimedia Comput. Commun.  ...  Online human gesture recognition has a wide range of applications in computer vision, especially in humancomputer interaction applications.  ...  achieve online gesture recognition.  ... 
doi:10.1145/2648583 fatcat:2libmjmk4racjfr4eldtnvjy6y

Online Gesture Recognition for User Interface on Accelerometer Built-in Mobile Phones [chapter]

BongWhan Choe, Jun-Ki Min, Sung-Bae Cho
2010 Lecture Notes in Computer Science  
In this paper, an optimized method for online gesture UI of mobile devices is proposed which is based on the DTW and modified k-means clustering algorithm.  ...  In order to utilize the gesture UI for the real-time systems with various users, the diversity robust algorithm, yet having low training/recognition complexity, is required.  ...  Since the unintended movement or outlier gestures can be sensed during the online gesture recognition, we defined certain threshold for each gesture.  ... 
doi:10.1007/978-3-642-17534-3_80 fatcat:dw7m5kki4bch7l3jpnm473dfdi

Open Source Dataset and Deep Learning Models for Online Digit Gesture Recognition on Touchscreens [article]

Philip J. Corr, Guenole C. Silvestre, Chris J. Bleakley
2017 arXiv   pre-print
This paper presents an evaluation of deep neural networks for recognition of digits entered by users on a smartphone touchscreen.  ...  neural (ConvNet) network applied to bitmaps of the glpyhs created by interpolation of the sensed screen touches and its topology is similar to that of previously published models for offline handwriting recognition  ...  In contrast, online character recognition systems take input in the form of the continuously sensed position of the pen, finger, or thumb.  ... 
arXiv:1709.06871v1 fatcat:g36wop3ly5aprpptngwycpa474

Person-specific face tracking with online recognition

Zhaowei Cai, Longyin Wen, Dong Cao, Zhen Lei, Dong Yi, Stan Z. Li
2013 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
In this paper, we design a framework combining an off-line detector, an on-line tracker and an online recognizer to complete the tracking of person-specific face.  ...  In order to ensure the precision of identity recognition with different poses, we project the extracted features of faces to a latent space with the help of Canonical Correlation Analysis (CCA) technique  ...  Online SVM Training Since the training samples will be collected on-the-fly in surveillance scenarios, an online recognition method should be developed to meet the demand, and an online SVM, which is called  ... 
doi:10.1109/fg.2013.6553730 dblp:conf/fgr/CaiWCLYL13 fatcat:bgvecb2hrjgahmsusbjiyhajhy

Album-oriented face recognition for online social networks

Zhongkai Han, Syed Zain Masood, Jason Hochreiter, Spencer Fonte, Marshall Tappen
2013 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
In this paper, we propose an album-oriented face-recognition model that exploits the album structure for face recognition in online social networks.  ...  Using two real-world datasets independently drawn from Facebook, we show that this model is broadly applicable and can significantly improve recognition rates.  ...  As shown in the experiments, utilizing this information leads to significant improvements in recognition accuracy. In future work, we hope to better integrate models like the work of Stone et al.  ... 
doi:10.1109/fg.2013.6553716 dblp:conf/fgr/HanMHFT13 fatcat:hpteqgmtxzd3xbsnyk7z34ywlq
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