Sensors
This dataset contains information about published papers on how biological signals (ECG, EEG, EDA and MG + eye-tracking) are being used and collected in the field of video games. This dataset reflects the information published including the choice of signals, the devices used to collect them (e.g., wearables), the purposes for which they are collected, and the main results reported from their use.
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236 Views
The dataset includes the device geometries and the corresponding performance. The device geometries consist of four-dimensional factors (L, W, T, H) and the device performance consists of three-dimensional parameters (R, S, δl).
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148 Views
This cherry tree disease detection dataset is a multimodal, multi-angle dataset which was constructed for monitoring the growth of cherry trees, including stress analysis and prediction. An orchard of cherry trees is considered in the area of Western Macedonia, where 577 cherry trees were recorded in a full crop season starting from Jul. 2021 to Jul. 2022. The dataset includes a) aerial / Unmanned Aerial Vehicle (UAV) images, b) ground RGB images/photos, and c) ground multispectral images/photos.
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1141 Views
Human activity data based on wearable sensors, such as the Inertial Measurement Unit (IMU), have been widely used in human activity recognition. However, most publicly available datasets only collected data from few body parts and the type of data collected is relatively homogeneous. Activity data from local body parts is challenging for recognizing specific activities or complex activities. Hence, we create a new HAR dataset which is colledted from the project named MPJA HAD: A Multi-Position Joint Angles Dataset for Human Activity Recognition Using Wearable Sensors.
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524 Views
Due to the smaller size, low cost, and easy operational features, small unmanned aerial vehicles (SUAVs) have become more popular for various defense as well as civil applications. They can also give threat to national security if intentionally operated by any hostile actor(s). Since all the SUAV targets have a high degree of resemblances in their micro-Doppler (m-D) space, their accurate detection/classification can be highly guaranteed by the appropriate deep convolutional neural network (DCNN) architecture.
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971 Views
In the view of national security, radar micro-Doppler (m-D) signatures-based recognition of suspicious human activities becomes significant. In connection to this, early detection and warning of terrorist activities at the country borders, protected/secured/guarded places and civilian violent protests is mandatory.
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1619 Views
Human arm motion data including forearm, upper-arm, and scapula link IMU modules beside SLAM reference position measurements compared to VICON as ground trouth.
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291 Views
Human activity wearable obstacle detection for the visually impaired (VI) is developed for routine monitoring and observation of surrounding events. Environmental observation, home surveillance, and assistive supports are now built on wearable devices using Inertia-based sensors, such as accelerometers, linear acceleration, and gyroscopes. Previous assisted living system (ALS) still faces challenges in energy management and resource allocation when performing daily activities, particularly with ambulation. Legacy systems cannot fully improve self-esteem, hence, WearROBOT.
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49 Views
The dataset reflects a single household (home) power profile related to the grid. Households include typical appliances, two air-to-air heat pumps, a 3-phase 18 kW through-flow water heater, 6 kW solar panels and a 2,5 kW charger for the electric car.
For five-month (April_August) in 2022, every 0.2 sec took each 3-phase voltage and current measurement, calculate power and harmonics (up to 15th) for power profile registration.
Positive value reflects energy flow from the grid to a household, and negative values are energy flow to the grid.
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850 Views
Presented are the target lists of a total of 8718 measurement frames produced by three (3) radar sensors, matched together with the IMU+GNSS-RTK solution for position and motion of two (2) automobiles. The sensors are synced in respect to their measurement times, but operate independently. Their modulation is offset by a certain frequency, to ensure mono-static evaluation. This allows for a cooperative evaluation of measurements. The sensor positions are static.
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397 Views