Pub Date : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493411
L. Moysis, A. Giakoumis, Apostolos Iatropoulos, C. Volos, H. Nistazakis, I. Stouboulos
This work proposes a chaotic text encryption scheme implemented in a microcontroller device. Initially, a chaotic 1D map is proposed and studied through its bifurcation diagrams and Lyapunov exponent diagram. The map showcases a constant chaotic behavior, which makes it suitable for use in encrytption. Based on this map, a pseudo random bit generator is designed. This generator is then used as a source of deterministic randomness, in order to encrypt a text message, using XOR. The complete scheme is then implemented in two microcontroller devices that can each implement the encryption and decryption procedures. This allows the safe transmission of an information text between the two devices, and can be the basis for further experimentation.
{"title":"Hardware Design and Implementation of a Wireless Chaotic Text Encryption Scheme","authors":"L. Moysis, A. Giakoumis, Apostolos Iatropoulos, C. Volos, H. Nistazakis, I. Stouboulos","doi":"10.1109/MOCAST52088.2021.9493411","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493411","url":null,"abstract":"This work proposes a chaotic text encryption scheme implemented in a microcontroller device. Initially, a chaotic 1D map is proposed and studied through its bifurcation diagrams and Lyapunov exponent diagram. The map showcases a constant chaotic behavior, which makes it suitable for use in encrytption. Based on this map, a pseudo random bit generator is designed. This generator is then used as a source of deterministic randomness, in order to encrypt a text message, using XOR. The complete scheme is then implemented in two microcontroller devices that can each implement the encryption and decryption procedures. This allows the safe transmission of an information text between the two devices, and can be the basis for further experimentation.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126307117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493409
Maria-Ermioni Plagaki, Konstantinos Touloupas, P. Sotiriadis
This work addresses the use of Electronic Design Automation (EDA) tools for topology selection and optimal sizing of Voltage Controlled Oscillator (VCO) Integrated Circuits (ICs). Instead of relying on empirical data and closed form equations to select device sizes, a simulation-based approach is adopted for better accuracy. By using an optimization method based on Evolutionary Algorithms (EAs) in combination with a tool for parametrized schematic simulations, we are able to asses the attainable performance trade-offs for different topologies and oscillation frequencies. We use Cadence Spectre for simulations and demonstrate our approach on two cross-coupled LC-VCO topologies by providing with Pareto optimal Fronts.
{"title":"Multi-Objective Optimization Methods for CMOS LC-VCO Design","authors":"Maria-Ermioni Plagaki, Konstantinos Touloupas, P. Sotiriadis","doi":"10.1109/MOCAST52088.2021.9493409","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493409","url":null,"abstract":"This work addresses the use of Electronic Design Automation (EDA) tools for topology selection and optimal sizing of Voltage Controlled Oscillator (VCO) Integrated Circuits (ICs). Instead of relying on empirical data and closed form equations to select device sizes, a simulation-based approach is adopted for better accuracy. By using an optimization method based on Evolutionary Algorithms (EAs) in combination with a tool for parametrized schematic simulations, we are able to asses the attainable performance trade-offs for different topologies and oscillation frequencies. We use Cadence Spectre for simulations and demonstrate our approach on two cross-coupled LC-VCO topologies by providing with Pareto optimal Fronts.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130537586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493418
A. Ascoli, M. Weiher, R. Tetzlaff, M. Herzig, S. Slesazeck, T. Mikolajick
This work proposes reliable methods for solving issues while solving the vertex coloring optimisation problem. It has been shown that networks of capacitively-coupled memristor oscillators can be used for computing the solution to this problem. In this paper we first investigate the negative impact of an unbalanced number of connections per cell on the performance of the network and compensate for the non-uniform coupling structure by readjusting the capacitive loads of the oscillators. The undesired effect, which device-to-device variability, affecting the NbOx threshold switch, employed in each cell, has on the functionality of the proposed array, is then studied, and its strength is reduced through an adaptation of the memristors’ operating points. One of the most crucial issues, affecting the memristor computing engine, appears when the solution of the optimisation problem attains a local minimum, keeping therein subsequently. In the last part of this manuscript we propose two control strategies, which allow the array to bypass impasse scenarios of this kind, facilitating the convergence of the solution toward the global minimum of the optimisation problem.
{"title":"Control Strategies to Optimize Graph Coloring via M-CNNs with Locally-Active NbOx Memristors","authors":"A. Ascoli, M. Weiher, R. Tetzlaff, M. Herzig, S. Slesazeck, T. Mikolajick","doi":"10.1109/MOCAST52088.2021.9493418","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493418","url":null,"abstract":"This work proposes reliable methods for solving issues while solving the vertex coloring optimisation problem. It has been shown that networks of capacitively-coupled memristor oscillators can be used for computing the solution to this problem. In this paper we first investigate the negative impact of an unbalanced number of connections per cell on the performance of the network and compensate for the non-uniform coupling structure by readjusting the capacitive loads of the oscillators. The undesired effect, which device-to-device variability, affecting the NbOx threshold switch, employed in each cell, has on the functionality of the proposed array, is then studied, and its strength is reduced through an adaptation of the memristors’ operating points. One of the most crucial issues, affecting the memristor computing engine, appears when the solution of the optimisation problem attains a local minimum, keeping therein subsequently. In the last part of this manuscript we propose two control strategies, which allow the array to bypass impasse scenarios of this kind, facilitating the convergence of the solution toward the global minimum of the optimisation problem.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133694750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493379
S. K. Chari, G. Koudouridis
Wireless communications using higher frequencies is now possible due to the advancements in the field of high gain antennas. Using such technologies has enabled accessing wireless media within a short range supplying frequency bands with capacity worth multi-gigabits. Higher frequencies are however exposed to blockage events that can hinder the wireless system performance by reducing the throughput and losing user connectivity. The blockage effect becomes more severe with the addition of mobile blockers like vehicles. In order to understand the blockage events induced by a mobile vehicle, an efficient blockage model is required that can assist in the maintenance of the user connection. This paper proposes using a four state channel model based on the user’s signal strength for describing the occurrence of blockage events at high frequencies. Signal strength prediction and the channel state classification are then conducted and evaluated using two deep learning neural network disciplines. The high accuracy of the simulation results observed suggest the possibility and implementation of the model in real systems.
{"title":"Link Blockage Modelling for Channel State Prediction in Higher Frequencies Using Deep Learning","authors":"S. K. Chari, G. Koudouridis","doi":"10.1109/MOCAST52088.2021.9493379","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493379","url":null,"abstract":"Wireless communications using higher frequencies is now possible due to the advancements in the field of high gain antennas. Using such technologies has enabled accessing wireless media within a short range supplying frequency bands with capacity worth multi-gigabits. Higher frequencies are however exposed to blockage events that can hinder the wireless system performance by reducing the throughput and losing user connectivity. The blockage effect becomes more severe with the addition of mobile blockers like vehicles. In order to understand the blockage events induced by a mobile vehicle, an efficient blockage model is required that can assist in the maintenance of the user connection. This paper proposes using a four state channel model based on the user’s signal strength for describing the occurrence of blockage events at high frequencies. Signal strength prediction and the channel state classification are then conducted and evaluated using two deep learning neural network disciplines. The high accuracy of the simulation results observed suggest the possibility and implementation of the model in real systems.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"1966 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129627075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493405
Yashar Ebadi, H. Moradi
Free, forced, and self-excited vibrations are the three main types of machine tool vibrations. Self-excited vibration is the most important type of destructive vibration in machining. The most important factor in increasing the chipping rate, stability, and tool life is decreasing this type of destructive vibration. In this paper, we aim to introduce a method to control the self-excited vibrations by the means of the combining a vibration absorber as a passive controlling method and a classical active controller such as PID or compensator or the other classical methods. Utilizing the SIMULINK toolbox of MATLAB software, first, we designed and added the vibration absorber to the model simulation. Then, the active controller which can have a piezo actuator force as its input was designed and applied. The effect of each absorber, designed controller, and their combination is investigated as well as the system time response and stability diagrams that are evaluated in the presence and absence of them. Implementation of the control law mentioned above, in its related electronic circuit of the turning machine, will be considered as the future stage of the current project.
{"title":"Using a combination of vibration absorber and a classical active controller to suppress the chatter vibration and increase the stability in turning process","authors":"Yashar Ebadi, H. Moradi","doi":"10.1109/MOCAST52088.2021.9493405","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493405","url":null,"abstract":"Free, forced, and self-excited vibrations are the three main types of machine tool vibrations. Self-excited vibration is the most important type of destructive vibration in machining. The most important factor in increasing the chipping rate, stability, and tool life is decreasing this type of destructive vibration. In this paper, we aim to introduce a method to control the self-excited vibrations by the means of the combining a vibration absorber as a passive controlling method and a classical active controller such as PID or compensator or the other classical methods. Utilizing the SIMULINK toolbox of MATLAB software, first, we designed and added the vibration absorber to the model simulation. Then, the active controller which can have a piezo actuator force as its input was designed and applied. The effect of each absorber, designed controller, and their combination is investigated as well as the system time response and stability diagrams that are evaluated in the presence and absence of them. Implementation of the control law mentioned above, in its related electronic circuit of the turning machine, will be considered as the future stage of the current project.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"592 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132622261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493378
K. Balaskas, K. Siozios
Efficient time series data mining techniques are an essential part of real world measurement systems and can yield meaningful results from unlabeled data by taking advantage of feature extraction principles. In this paper, we perform kinematic analysis on time series data from IMU sensors for fatigue detection on runners, using several unsupervised machine learning techniques. We propose a robust feature extraction scheme composed of an LSTM Autoencoder, to exploit the advantages of recurrent neural networks and the data compression capabilities of an Autoencoder. The proposed model combines the advantages of several clustering algorithms for accurate fatigue detection in real time, making it suitable for implementation in an embedded device. Experimental evaluation of the feature extraction algorithms showcased their capabilities to produce meaningful features, overcoming the obstacle of extremely limited training data. The inference procedure yielded successful detection in 43% of our representative sample, indicating the efficiency of our model in extracting robust features from unseen kinematic data.
{"title":"Fatigue Detection Using Deep Long Short-Term Memory Autoencoders","authors":"K. Balaskas, K. Siozios","doi":"10.1109/MOCAST52088.2021.9493378","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493378","url":null,"abstract":"Efficient time series data mining techniques are an essential part of real world measurement systems and can yield meaningful results from unlabeled data by taking advantage of feature extraction principles. In this paper, we perform kinematic analysis on time series data from IMU sensors for fatigue detection on runners, using several unsupervised machine learning techniques. We propose a robust feature extraction scheme composed of an LSTM Autoencoder, to exploit the advantages of recurrent neural networks and the data compression capabilities of an Autoencoder. The proposed model combines the advantages of several clustering algorithms for accurate fatigue detection in real time, making it suitable for implementation in an embedded device. Experimental evaluation of the feature extraction algorithms showcased their capabilities to produce meaningful features, overcoming the obstacle of extremely limited training data. The inference procedure yielded successful detection in 43% of our representative sample, indicating the efficiency of our model in extracting robust features from unseen kinematic data.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130123774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493354
G. A. Papavgeris, A. Stassinakis, H. Nistazakis, E. V. Chatzikontis, A. Tsigopoulos, V. Christofilakis
Terrestrial free space optical (FSO) links can achieve very high performance characteristics with relative low operational cost and easy installation. However, the impact of various weather and atmospheric phenomena, such as atmospheric turbulence, absorption and scattering decrease the FSO performance and availability. These phenomena are responsible for rapid fluctuations of the intensity of the laser beam which can be modeled through the appropriate statistical distributions. In this work, the correlation between relative humidity, temperature and wind speed with the atmospheric attenuation factor of a terrestrial horizontal FSO system above the sea is estimated by extracting an experimental model for the evaluation of link’s attenuation. The FSO link has been installed at the entrance of the Piraeus Port. The comparison between the experimental attenuation coefficient of the optical power received and the extracted empirical model will prove the validity of the model. The obtained results can used for the design and implementation of optical wireless communication systems parts of high performance, reliable optical or hybrid networks.
{"title":"Experimental Attenuation Coefficient Estimation for FSO Links over Maritime Area During Summer Time","authors":"G. A. Papavgeris, A. Stassinakis, H. Nistazakis, E. V. Chatzikontis, A. Tsigopoulos, V. Christofilakis","doi":"10.1109/MOCAST52088.2021.9493354","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493354","url":null,"abstract":"Terrestrial free space optical (FSO) links can achieve very high performance characteristics with relative low operational cost and easy installation. However, the impact of various weather and atmospheric phenomena, such as atmospheric turbulence, absorption and scattering decrease the FSO performance and availability. These phenomena are responsible for rapid fluctuations of the intensity of the laser beam which can be modeled through the appropriate statistical distributions. In this work, the correlation between relative humidity, temperature and wind speed with the atmospheric attenuation factor of a terrestrial horizontal FSO system above the sea is estimated by extracting an experimental model for the evaluation of link’s attenuation. The FSO link has been installed at the entrance of the Piraeus Port. The comparison between the experimental attenuation coefficient of the optical power received and the extracted empirical model will prove the validity of the model. The obtained results can used for the design and implementation of optical wireless communication systems parts of high performance, reliable optical or hybrid networks.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131815832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493382
A. Boursianis, M. Salucci, S. Koulouridis, A. Georgiadis, M. Tentzeris, S. Goudos
Frequency Selective Surfaces (FSSs) are periodic structures that are designed to reflect, absorb or transmit electromagnetic fields in a variable frequency range. Their performance is strongly dependent on their fundamental structure, i.e. the unit cell. In this paper, we exploit the characteristic of absorption to design a dual-band FSS suitable for indoor RF energy harvesting systems. We combine an optimization technique by utilizing the Harris Hawk Optimization (HHO) algorithm and a high-frequency electromagnetic solver to optimize the geometry of the unit cell and the overall FSS. The proposed system operates in the frequency bands of Wi-Fi 2.4 GHz and Wi-Fi 5 GHz. Numerical results demonstrate that the optimized FSS exhibits quite satisfactory results and makes it a suitable candidate for RF energy harvesting applications.
{"title":"Dual-Band Frequency Selective Surface Design Using Harris Hawks Optimization","authors":"A. Boursianis, M. Salucci, S. Koulouridis, A. Georgiadis, M. Tentzeris, S. Goudos","doi":"10.1109/MOCAST52088.2021.9493382","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493382","url":null,"abstract":"Frequency Selective Surfaces (FSSs) are periodic structures that are designed to reflect, absorb or transmit electromagnetic fields in a variable frequency range. Their performance is strongly dependent on their fundamental structure, i.e. the unit cell. In this paper, we exploit the characteristic of absorption to design a dual-band FSS suitable for indoor RF energy harvesting systems. We combine an optimization technique by utilizing the Harris Hawk Optimization (HHO) algorithm and a high-frequency electromagnetic solver to optimize the geometry of the unit cell and the overall FSS. The proposed system operates in the frequency bands of Wi-Fi 2.4 GHz and Wi-Fi 5 GHz. Numerical results demonstrate that the optimized FSS exhibits quite satisfactory results and makes it a suitable candidate for RF energy harvesting applications.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134292761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493344
F. Vanselow, Prajith Kumar Poongodan, Oleg Sakolski, L. Maurer
In this paper a new double switch bootstrapping (DSB) scheme for high voltage switched capacitor DC-DC converter is presented. The circuit enables charge pump input voltages greater than the gate-oxide breakdown voltage for the switches. The DSB scheme is implemented in two high-voltage linear charge-pumps for positive and negative output voltages of up 72V and down to -36V, a maximum input voltage of 9V, a load current of 300µA for an efficiency of 34.8% at 2.2 MHz switching frequency. The experimental testchip is realized using a high-voltage 0.18µm SOI technology in 6.54 mm2.
{"title":"A New Switching Scheme For High-Voltage Switched Capacitor DC-DC Converter","authors":"F. Vanselow, Prajith Kumar Poongodan, Oleg Sakolski, L. Maurer","doi":"10.1109/MOCAST52088.2021.9493344","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493344","url":null,"abstract":"In this paper a new double switch bootstrapping (DSB) scheme for high voltage switched capacitor DC-DC converter is presented. The circuit enables charge pump input voltages greater than the gate-oxide breakdown voltage for the switches. The DSB scheme is implemented in two high-voltage linear charge-pumps for positive and negative output voltages of up 72V and down to -36V, a maximum input voltage of 9V, a load current of 300µA for an efficiency of 34.8% at 2.2 MHz switching frequency. The experimental testchip is realized using a high-voltage 0.18µm SOI technology in 6.54 mm2.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125970389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493383
A. Polo, M. Salucci, S. Verzura, Zhenkun Zhou, A. Massa
The study and the design of novel methodologies and techniques for user's activity and gesture recognition is of great interest and a hot topic in human-computer interactions. Hand gesture recognition techniques based on computer-vision have yielded impressive results, but they involve users’ privacy concerns, therefore other sensing approaches are of interest. In this work, a novel machine learning methodology based on passive electromagnetic sensing that exploits commodity Wi-Fi signals is proposed. Such an approach has been preliminary validated in a real house environment with a classification accuracy of 98%.
{"title":"Real-Time CSI-Based Wireless Gesture Recognition for Human-Machine Interaction","authors":"A. Polo, M. Salucci, S. Verzura, Zhenkun Zhou, A. Massa","doi":"10.1109/MOCAST52088.2021.9493383","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493383","url":null,"abstract":"The study and the design of novel methodologies and techniques for user's activity and gesture recognition is of great interest and a hot topic in human-computer interactions. Hand gesture recognition techniques based on computer-vision have yielded impressive results, but they involve users’ privacy concerns, therefore other sensing approaches are of interest. In this work, a novel machine learning methodology based on passive electromagnetic sensing that exploits commodity Wi-Fi signals is proposed. Such an approach has been preliminary validated in a real house environment with a classification accuracy of 98%.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127168951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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