Signal Processing
RRN-ATR-Net is a radar echo data set containing the micro-Doppler signatures (m-Ds) of different aerial targets, with a total sample size of 1200. It is available for researchers interested in this field but having difficulty collecting data. The data set is acquired using Texas Instruments' AWR1642BOOST radar sensor and the DCA1000EVM high-speed data acquisition card. The target types subject to acquisition include quadrotor (Phantom3s), fixed-wing (Cessna182), helicopter (T-REX450), and bionic bird (Gogo Bird1020).
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They are a combination of 8 finger gestures and 3 wrist gestures. The 8 finger motions include fist, extension of all fingers, extension of thumb finger, extension of index finger, extension of thumb and index finger, extension of little finger, 3-fingers pinch, and 5-fingers pinch . And the 3 wrist motions are wrist extension, wrist flexion and wrist relaxation. 8-channel sEMG and 1-inertial measurement unit (IMU) were recorded by a self-developed device. The sampling frequency of sEMG and inertial signal was 1000Hz.
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A specially designed waist-worn device with accelerometer, gyroscope, and pressure sensor was utilized to collect information about 18 ADLs and 16 fall types. The falls protocol has been performed in our lab to replicate realistic situations that typically affect workers and older people. In contrast to other datasets that are accessible to the public, we included a new task in the falls, syncope, since it has a high mortality rate among the elderly and is linked to falls. As such, we must take it into account and include it in our fall detection system.
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This paper proposes and experimentally validates a distributed temperature alarm system based on carbon dioxide (CO2)-filled side air-holes fiber (SAHF), interrogated through a conventional (incoherent) optical time-domain reflectometer (OTDR). Customizable alarm threshold temperatures can be designed and set by adjusting the pressure of the CO2 filling the air-hole region, which in turn determines a threshold temperature under which CO2 liquefies.
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It is Supplementary Table_S1, the extracted scattering centers for the complex target in Fig. 9(a). Paper abstract: An electromagnetic (EM) metasurface is a passive device capable of manipulating the reflected signal of a radar in both spatial and frequency domains. This paper presents a novel analytical design of EM scattering center model guided passive synthetic aperture radar (SAR) deception based on diverse frequency time-modulation. The objective of this design is to disguise real target as an intended deceptive target and conceal its original EM characteristics.
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The study of motion data acquisition by wearable sensors and subsequent processing is a crucial research area with significant implications in monitoring physiological motion, identifying gait disorders, and classifying motion patterns, which is particularly relevant in pediatrics, neurology, and rehabilitation. This paper presents the utilization of accelerometric data to evaluate body motion symmetry in children, taking into account various factors such as age, diagnosis, and gender.
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This data set consists of EEG data from 9 subjects. The cue-based BCI paradigm consisted of four di erent motor imagery tasks, namely the imag ination of movement of the left hand (class 1), right hand (class 2), both feet (class 3), and tongue (class 4). Two sessions on di erent days were recorded for each subject. Each session is comprised of 6 runs separated by short breaks. One run consists of 48 trials (12 for each of the four possible classes), yielding a total of 288 trials per session.
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Faces and bodies provide critical cues for social interaction and communication. Their structural encoding depends on configural processing, as suggested by the detrimental effect of stimulus inversion for both faces (i.e., face inversion effect - FIE) and bodies (body inversion effect - BIE). An occipito-temporal negative event-related potential (ERP) component peaking around 170 ms after stimulus onset (N170) is consistently elicited by human faces and bodies and it is affected by the inversion of these stimuli.
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A total of 695 side-scan sonar images are sorted out, among which the data of plane and ships are from the dataset publicly shared on github by Huo Guanying’s team, and the data of mines and human bodies are from the gallery display list of various sonar software companies (such as Tritech, Edgetech, etc.).
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Since the majority of people have smartphones, the Hb level can be determined using the smartphone's video through PPG signal as opposed to the traditional approaches, which still require the use of a needle to puncture a vein. This study enrolled 108 subjects who underwent a clinical test, with their hemoglobin (Hb) level within the range of 6.6 to 16.5 g/dL.
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