.mat
This study explores the potential of electromyography (EMG) decoding to enhance motor function outcomes, focusing on developing an innovative EMG-based hand movement classification system. Leveraging advanced signal processing and machine learning techniques, our objectives are twofold: (1) optimize EMG decoding performance through time-domain windowing, feature selection, and classifier optimization, and (2) assess the system's effectiveness in classifying 15 distinct finger movements.
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Integrated sensing and communication (ISAC), as a rapidly advancing technique, is proposed to address both the communication and sensing problem in a unified framework over the millimeter wave (mmWave) frequency bands. In this paper, a cost-saving bi-static architecture is designed for the mmWave ISAC system, and a corresponding effective estimation scheme is proposed utilizing the canonical polyadic (CP) decomposition, where a heterogeneous placement of stations is adopted, and both communications terminals (CTs) and passive targets (PTs) are jointly considered.
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This data was recorded for emg based force/Torque estimation. EMG and torque signals were collected during simultaneous, isometric, but continuously varying contractions, corresponding to two wrist DoF. The experiment was carried out in two trials with a 5-min rest in between. Each trial included six combinations of tasks, separated by 2 min of rest to minimize the effect of fatigue. The performed tasks were categorized into individual and combined (simultaneous) DoF to test the ability to estimate isolated torque and torque in two simultaneous DoF.
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254 Views
This paper presents the theory and key experimental findings for an investigation into the generation of bimodal resonance
(frequency splitting) phenomena in mutually over-coupled inductive sensors, and its exploitation to evaluate relative separation and
angular displacement between coils. This innovative measurement technique explores the bimodal resonant phenomena observed
between two coil designs - solenoid and planar coil geometries. The proposed sensors are evaluated against first-order analytical
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6 Views
This is a MATLAB code and data for the work [1].
"code" folder includes MATLAB codes.
Requirements: Control System Toolbox, Parallel Computing Toolbox, cvx
"data" folder includes the data described in the manuscript.
[1] Hampei Sasahara, "Adversarial Destabilization Attacks to Direct Data-driven Control," submitted to IEEE OJ-CSYS, 2023.
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101 Views
In the attached dataset, a continuous record of 2493 chirp-sequence FMCW radar burst is presented. The data consist of the direct ADC output of an AWR1443BOOST radar board from Texas Instruments during 47.37 s of continuous operation. During this time, two FMCW radars of the model AWR1642BOOST were continuously transmitting sweeps with its main lobe aimed towards the first radar. This produces the apparition of two different uncorrelated interferences at the victim radar side, which can be seen on different indexes of the provided capture.
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1689 Views
Data and code associated with the submitted paper "A Kinematic Model to Predict a Continuous Range of Human-like Walking Speed Transitions" by Greggory F. Murray and Anne E. Martin.
This submission contains the experimental kinematic data for the speed transitions and the code needed to analyze and model the transitions.
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141 Views
We provide a dataset with IQ signals captured from multiple Sub-GHz technologies. Specifically, the dataset targets wireless technology recognition (machine learning) algorithms for enabling cognitive wireless networks. The Sub-GHz technologies include Sigfox, LoRA, IEEE 802.15.4g, IEEE 802.15.4 SUN-OFDM and IEEE 802.11ah. Additionally, we added a noise signal class for allowing detection of signal absence.
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905 Views
The data is a truth table of a 22-variable 4-resilient Boolean function with nonlinearity 2095616.
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131 Views