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Improved Static Hand Gesture Classification on Deep Convolutional Neural Networks Using Novel Sterile Training Technique

Josiah W. Smith, Shiva Thiagarajan, Richard Willis, Yiorgos Makris, Murat Torlak
2021 IEEE Access  
In this paper, we investigate novel data collection and training techniques towards improving classification accuracy of non-moving (static) hand gestures using a convolutional neural network (CNN) and  ...  INDEX TERMS Convolutional neural networks, deep learning, hand gesture recognition, millimeter-wave radar, sterile training.  ...  This reduces the dimensionality of the classification to temporal motion features, whereas static gesture recognition on mmWave radar involves classification of a three-dimensional structure using lower  ... 
doi:10.1109/access.2021.3051454 fatcat:apwphiipcvbudnty5zljxoqzca

Multi-sensor system for driver's hand-gesture recognition

Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Kari Pulli
2015 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
We propose a novel multi-sensor system for accurate and power-efficient dynamic car-driver hand-gesture recognition, using a short-range radar, a color camera, and a depth camera, which together make the  ...  We present a procedure to jointly calibrate the radar and depth sensors. We employ convolutional deep neural networks to fuse data from multiple sensors and to classify the gestures.  ...  We present a novel multi-sensor system comprising of a short-range radar, a color camera, and a time-of-flight (TOF) depth camera for dynamic hand-gesture recognition.  ... 
doi:10.1109/fg.2015.7163132 dblp:conf/fgr/MolchanovGKP15 fatcat:2wrxffmcwzeibfz5ui6puutxkq

MM-Wave Radar-Based Recognition of Multiple Hand Gestures Using Long Short-Term Memory (LSTM) Neural Network

Piotr Grobelny, Adam Narbudowicz
2022 Electronics  
The paper proposes a simple machine learning solution for hand-gesture classification, based on processed MM-wave radar signal.  ...  This demonstrates that the proposed solution is robust and scalable, allowing quick and reliable creation of larger databases of gestures to expand the use of machine learning with radar technologies.  ...  The three gestures in question include significant up and down movements, i.e., along the Z axis. This problem is expected to be solved by using FMCW radar with 2-dimensional antenna array.  ... 
doi:10.3390/electronics11050787 fatcat:tcalkp6hwbfjvmiizsmn65pnzi

GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition

Abel Diaz Berenguer, Meshia Cedric Oveneke, Habib-ur-Rehman Khalid, Mitchel Alioscha-Perez, Andre Bourdoux, Hichem Sahli
2019 IEEE Access  
In this paper we propose a novel framework to process Doppler-radar signals for hand gesture recognition.  ...  Doppler-radar sensors provide many advantages over other emerging sensing modalities, including low development costs and high sensitivity to capture subtle gestures with precision.  ...  The advantage is that it can be implemented in low-cost devices with a simple front-end architecture.  ... 
doi:10.1109/access.2019.2942305 fatcat:x37fqsbpmzdujdbrhmdtx5nrta

Sensing of Life Activities at the Human-Microwave Frontier

Changzhi Li, Victor M. Lubecke, Olga Boric-Lubecke, Jenshan Lin
2021 IEEE Journal of Microwaves  
Modern microwave radar technologies and systems are taking important roles in healthcare, security, and human-machine interface by remote sensing of human life activities.  ...  As radio frequency spectrum becomes a scarce resource, the allocation and spectrum sharing of life activity sensing bandwidth with other wireless infrastructures will be discussed.  ...  In [63] , hand gesture recognition using a convolutional neural network was applied to radar echo I/Q plot trajectories.  ... 
doi:10.1109/jmw.2020.3030722 fatcat:p7ys76vc6nenzomqmvtarzmloq

Automated Digital Presentation Control using Hand Gesture Technique

Salonee Powar, Shweta Kadam, Sonali Malage, Priyanka Shingane, M.D. Patil, V.A. Vyawahare
2022 ITM Web of Conferences  
The hand gesture recognition system builds the use of gloves, markers and so on However, the utilization of such gloves or markers expands the expense of the system.  ...  Use of hand gestures cause connection simple, helpful, and doesn't need any additional gadget.  ...  Hassin Al Asadi author presented "A new hand gestures recognition system". They introduced a low cost system to fete the hand gesture in real-time.  ... 
doi:10.1051/itmconf/20224403031 fatcat:kgb2iyqmpfchbfkkng3mk32ibi

Human–Machine Interaction Using Probabilistic Neural Network for Light Communication Systems

Julian Webber, Abolfazl Mehbodniya, Rui Teng, Ahmed Arafa
2022 Electronics  
The system exploits existing light communications infrastructure using low-cost and readily available components.  ...  Hand gestures are a natural and efficient means to control systems and are one of the promising but challenging areas of human–machine interaction (HMI).  ...  Proposed Solution Our proposed solution uses the same hardware as a light communications system and hence the gesture recognition capability is a low-cost additional feature.  ... 
doi:10.3390/electronics11060932 fatcat:e6zhpk2o75a4lh7nfvddjkvf5y

Spectrum-based Hand Gesture Recognition using Millimeter-wave Radar Parameter Measurements

Changjiang Liu, Yuanhao Li, Dongyang Ao, Haiyan Tian
2019 IEEE Access  
In this paper, we investigate the feasibility of human gesture recognition using the spectra of radar measurement parameters.  ...  The differences among radar-based gesture recognitions are mainly manifested in the following three aspects: the radar system, the method of feature extraction, and the method of recognition/classification  ...  Using the radar parameter data collected by the same type of radar chip, a deep-learning based gesture recognition was proposed by TI [44] .  ... 
doi:10.1109/access.2019.2923122 fatcat:onst53n3rjddxdoc2b7ymmohiy

Wi-Fi Sensing: Applications and Challenges [article]

A. M. Khalili, Abdel-Hamid Soliman, Md Asaduzzaman, Alison Griffiths
2022 arXiv   pre-print
This paper presents a survey on different applications of Wi-Fi based sensing systems such as elderly people monitoring, activity classification, gesture recognition, people counting, through the wall  ...  [82] presented a Wi-Fi based gesture recognition system by using variation in RSS resulting from hand gestures.  ...  The gesture recognition accuracy was 87.5% when a single access point was used and 96% when three access points were used.  ... 
arXiv:1901.00715v5 fatcat:33vcof57ybclpelkiafkp72uly

Enhancing RF Sensing with Deep Learning: A Layered Approach

Tianyue Zheng, Zhe Chen, Shuya Ding, Jun Luo
2021 IEEE Communications Magazine  
In recent years, radio frequency (RF) sensing has gained increasing popularity due to its pervasiveness, low cost, non-intrusiveness, and privacy preservation.  ...  While earlier solutions exploit only simple feature extraction and classification modules, an emerging trend adds functional layers on top of elementary modules for more powerful generalizability and flexible  ...  In addition, they achieve good recognition accuracy while maintaining low processing and deployment costs.  ... 
doi:10.1109/mcom.001.2000288 fatcat:zwth73kis5aqxh3vfagyjxsmsm

Recognition of Holoscopic 3D Video Hand Gesture Using Convolutional Neural Networks

Norah Alnaim, Maysam Abbod, Rafiq Swash
2020 Technologies  
In this article, 3D micro hand gesture recognition disparity experiments are proposed using CNN. This study includes twelve 3D micro hand motions recorded for three different subjects.  ...  The convolutional neural network (CNN) algorithm is one of the efficient techniques to recognize hand gestures.  ...  A technique using depth camera in a smart device for hand gesture recognition is proposed by Keun and Choong [7] . The recognition is made through the recognition of a hand or detection of fingers.  ... 
doi:10.3390/technologies8020019 fatcat:sqrouw4p2vgypbhyfqvhc7z7ni

Wi-Fi Sensing: Applications and Challenges

Abdullah Khalili, Abdel-Hamid Soliman, Md Asaduzzaman, Alison Griffiths
2019 The Journal of Engineering  
This study presents a survey on different applications of Wi-Fi-based sensing systems such as elderly people monitoring, activity classification, gesture recognition, people counting, through the wall  ...  [30] presented a Wi-Fi-based gesture recognition system by using variation in RSS resulting from hand gestures.  ...  The gesture recognition accuracy was 87.5% when a single access point was used and 96% when three access points were used.  ... 
doi:10.1049/joe.2019.0790 fatcat:i64h53lftfbyhgaooitbig5ag4

Sensing Technology for Human Activity Recognition: a Comprehensive Survey

Biying Fu, Naser Damer, Florian Kirchbuchner, Arjan Kuijper.
2020 IEEE Access  
Therefore, having a well defined categorization of sensing technology is essential for the systematic design of human activity recognition systems.  ...  Sensors are devices that quantify the physical aspects of the world around us. This ability is important to gain knowledge about human activities.  ...  Hand gesture recognition task using a smartphone device is further targeted by the project Dolphin [30] and FingerIO [31] .  ... 
doi:10.1109/access.2020.2991891 fatcat:ukkpc2gdkvd2dird52ttebe6sy

6G White Paper on Localization and Sensing [article]

Andre Bourdoux, Andre Noll Barreto, Barend van Liempd, Carlos de Lima, Davide Dardari, Didier Belot, Elana-Simona Lohan, Gonzalo Seco-Granados, Hadi Sarieddeen, Henk Wymeersch, Jaakko Suutala, Jani Saloranta (+8 others)
2020 arXiv   pre-print
In turn, this will enable sensing solutions with very fine range, Doppler and angular resolutions, as well as localization to cm-level degree of accuracy.  ...  They will become the catalyst for this revolution by bringing about a unique new set of features and service capabilities, where localization and sensing will coexist with communication, continuously sharing  ...  On the other hand, monolithic CMOS-based THz imagers have recently emerged as a low-cost competitor [37] , [38] . For these images, two kinds of architecture exist.  ... 
arXiv:2006.01779v1 fatcat:gvlog73wxffdno3glnxcfe56pu

WiFine: Real-time Gesture Recognition Using Wi-Fi with Edge Intelligence

Tianzhang Xing, Qing Yang, Zhiping Jiang, Xinhua Fu, Junfeng Wang, Chase Q. Wu, Xiaojiang Chen
2022 ACM transactions on sensor networks  
In this paper, we propose a lightweight Wi-Fi gesture recognition system, referred to as WiFine, which is designed and implemented for deployment on low-end edge devices without the use of any additional  ...  Finally, we design a lightweight neural network architecture by leveraging redundancy to reduce computational cost while ensuring satisfactory recognition accuracy.  ...  On the other hand, the bandwidth available for radar signals is much larger compared to WIFI signals.  ... 
doi:10.1145/3532094 fatcat:4ui6xtzzzfdedghgjbaf2dufxa
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