Signal Processing
A 3D WUCT system using a single ultrasound transducer is designed and automated. The dataset consist of the WUCT reconstruction results dataset used to train U-Net based semantic segmentation model. Also, dataset i) to study the effect of increase in the number of virtual transducer on reconstruction quality and, ii) effect of variation in the applied pulse width on the reconstruction are provided. The U-Net based semantic segmentation model is trained and used to evaluate dice coefficient corresponding to the phantom’s actual profile and reconstructed profile.
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83 Views
This research introduces the Open Seizure Database and Toolkit as a novel, publicly accessible resource designed to advance non-electroencephalogram seizure detection research. This paper highlights the scarcity of resources in the non-electroencephalogram domain and establishes the Open Seizure Database as the first openly accessible database containing multimodal sensor data from 49 participants in real-world, in-home environments.
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1768 Views
Radio-Frequency (RF) based User identification enables many attractive applications such as smart homes, and security management. However, laborious data collection is required due to appearance changes, inconsistent walking paths, and environmental variations. Furthermore, multi-user identification persists as an imperative for real-world applications. To this end, we propose an RFID-based user identification system (RF-UI), a few-shot, cross-interference factor, and a continuous user identification system.
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136 Views
Existing work on radar modulation recognition is
widely based on the assumption of a single in-pulse signal,
whereas overlapping two pulse signals is an actual situation. This
paper introduces a challenging problem: modulation recognition
of overlapping intra-pulse signals, where the difficulty lies in
the fact that the number of samples grows stepwise with the
permutation of the sub-signals. In this paper, for the first time,
a series of methods for target detection are used to solve this
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424 Views
<p>Ten individuals in good health were enlisted to execute 16 distinct movements involving the wrist and fingers in real-time. Before commencing the experimental procedure, explicit consent was obtained from each participant. Participants were informed that they had the option to withdraw from the study at any point during the experimental session. The experimental protocol adhered to the principles outlined in the Declaration of Helsinki and received approval from the local ethics committee at the National University of Sciences and Technology, Islamabad, Pakistan.
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136 Views
For gesture recognition, radar sensors provide a unique alternative to other input devices, such as cameras or motion sensors. They combine a low sensitivity to lighting conditions, an ability to see through surfaces, and user privacy preservation, with a small form factor and low power usage. However, radar signals can be noisy, complex to analyze, and do not transpose from one radar to another.
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645 Views
These data is state estimation accuracy of the proposed algorithm When the adjust factor is 1
These data includes the position estimation accuracy and velocity estimation accuracy of the algorithm.
The data are explained as follows:
rmse_ckf_1,rmse_ukf_1,rmse_vakf_1,rmse_vakfpr_1,rmse_okf_1 are the position accuracy of the CKF, UKF, the proposed IW_VACKF, VACKF_PR and CKF-TNCM, respectively.
rmse_ckf_2,rmse_ukf_2,rmse_vakf_2,rmse_vakfpr_2,rmse_okf_2 are the velocity accuracy of the CKF, UKF, the proposed IW_VACKF, VACKF_PR and CKF-TNCM, respectively.
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83 Views
The published Surface Electromyography (sEMG) dataset was captured under the supervision of trained physiotherapists and doctors at Mayo Hospital Lahore and National University of Sciences & Technology by following two months long experimental protocol.
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1155 Views
EAED is an Egyptian-Arabic emotional speech dataset containing 3,614 audio files. The dataset is a semi-natural one as it was collected from five well-known Egyptian TV series. Each audio file ranged in length from 1 to 8 seconds depending on the completion time of the given sentence.
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1364 Views
<div class="WordSection1"><p class="MsoNormal"> </p></div><p><span style="font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: SimSun; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;"><br style="page-break-before: always; mso-break-type: section-break;" clear="all" /> </span></p><p class="Abstract" style="text-indent: 13.6pt;"><em>Abstract</em>—In the field of digital fil
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40 Views