Sensors
This data was collected during a validation study of our Torso-Dynamics Estimation System (TES). The TES consisted of a Force Sensing Seat (FSS) and an inertial measurement unit (IMU) that measured the kinetics and kinematics of the subject's torso motions. The FSS estimated the 3D forces, 3D moments, and 2D COPs while the IMU estimated the 3D torso angles. To validate the TES, the FSS and IMU estimates were compared to gold standard research equipment (AMTI force plate and Qualisys motion capture system, respectively).
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High sensitivity optical fiber temperature sensors are extremely important in the domains of biology, medicine, and chemistry. To the best of our knowledge, this paper presents a novel designing framework for high-performing fiber temperature sensors. Photopolymerized-waveguide is embedded in typical Mach-Zehnder interferomenter framework with multimode fiber-single mode fiber-multimode (MSM) structure.
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TE benchmark has been widely used to evaluate process monitoring performance, which is mainly composed of multiple operation units including continuous stirred tank reactor, condenser, gas-liquid separation tower, stripper, reboiler and centrifugal compressor.
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This file contains real GNSS data collected from a suburban region to a dense urban region in Ottawa. For the interest of the work, only GPS data are collected. The data are collected using two Ublox GNSS units (receivers), namely EVK-M8T and EVK-M8U. EVK-M8T is a timing product that can provide precise timing information for post-processing. EVK-M8U is a product that features dead reckoning mode, making this product reliable even in urban canyons. The data are in the format of UBX, NAV, and OBS. The UBX file is outputed directly by the receiver using u-center (software).
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The dataset for the vehicles collusion detection in internet of vehicles is generated from internet of vehicles enviornment using VSSIM. The detail procedure of the data collection and the preprocessing procedure can be found in the publihsed paper - https://doi.org/10.1016/j.eswa.2022.119033.
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532 Views
20 falls and 16 daily living activities were performed by 17 volunteers with 5 repetitions while wearing 6 sensors (3.060 instances) that attached to their head, chest, waist, wrist, thigh and ankle.
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Two-dimensional (2D) materials have layered structure with unique properties. One of the properties of interest is the temperature coefficient of resistance (TCR) which should be large for fast thermal sensors. The TCR is the calculation of the relative change in resistance per degree of temperature change. Taking a step further, tunable TCR is a concept that involves the control of TCR by the gate voltage. Here we have shown that in a field effect transistor device, the 2D semiconductor material WSe2 has a TCR, which can be controlled by varying the applied gate voltage.
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Radar-based dynamic gesture recognition has a broad prospect in the field of touchless Human-Computer Interaction (HCI) due to its advantages in many aspects such as privacy protection and all-day working. Due to the lack of complete motion direction information, it is difficult to implement existing radar gesture datasets or methods for motion direction sensitive gesture recognition and cross-domain (different users, locations, environments, etc.) recognition tasks.
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757 Views
Human activity data collected by a 5.8GHz radar system
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The dataset contains physiological data collected using a wearable device from 5 children with autism (all males) during interaction sessions with different stimuli. The dataset (QU_Autism_dataset.csv) is related to our investigations of using wearable devices to detect the occurrence of challenging behaviors among children with autism. The study used a wearable device that acquired the acceleration (ACC) (i.e., in X, Y, Z), electrodermal activity (EDA), temperature (TEMP), heart rate (HR), and blood volume pulse (BVP).
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