Sensors
104 participants (54 female and 50 male) walked over a treadmill. Gait data based on 25 joint trajectories was recorded using a single Kinect V2 depth sensor placed in frontal view. We gradually increased the speed of the motorized treadmill from 0m/s to 1.2m/s. All recordings start once 1.2m/s speed is reached. After approximately 30 seconds of continuous walking, the recording stops and then the slowdown starts.
- Categories:
This dataset accompanies a paper titled "Detection of Metallic Objects in Mineralised Soil Using Magnetic Induction Spectroscopy".
- Categories:
time-series, accelerometer, gyroscope-to-yaw, acoustic localization
- Categories:
This dataset consists of sensory data of digits, i.e., from 0 to 9. The dataset is collected from 20 volunteers by using a 9−axis Inertial Measurement Unit (IMU) equipped marker pen. The objective of this dataset is to design classification algorithms for recognizing a handwritten digit in real-time.
- Categories:
iSignDB: A biometric signature database created using smartphone
Suraiya Jabin, Sumaiya Ahmad, Sarthak Mishra, and Farhana Javed Zareen
Department of Computer Science, Jamia Millia Islamia, New Delhi-110025, India
It's a database of biometric signatures recorded using sensors present in a smartphone. The dataset iSignDB is created to implement a novel anti-spoof biometric signature authentication for smartphone users.
- Categories:
This RSSI Dataset is a comprehensive set of Received Signal Strength Indicator (RSSI) readings gathered from three different types of scenarios. Three wireless technologies were used which consisted of:
- Zigbee (IEEE 802.15.4),
- Bluetooth Low Energy (BLE), and
- WiFi (IEEE 802.11n 2.4GHz band).
- Categories:
Many applications benefit from the use of multiple robots, but their scalability and applicability are fundamentally limited when relying on a central control station. Getting beyond the centralized approach can increase the complexity of the embedded software, the sensitivity to the network topology, and render the deployment on physical devices tedious and error-prone. This work introduces a software-based solution to cope with these challenges on commercial hardware.
- Categories:
This data package is parepared by Dr. Jianguo Niu (IMSG at NOAA NESDIS/STAR) on
March 18, 2020
The purpose of this OMPS LFSO2 retrieval products package is in support the paper:
"Evaluation and Improvement of the Near-real-time Linear Fit SO2 retrievals from Suomi NPP (S-NPP) Ozone Mapping & Profiler Suite"
This package includes LFSO2 V8TOS retrievals of:
1. "logic swith on" (original set as described by th paper 01824) products
- Categories:
Tactile perception of the material properties in real-time using tiny embedded systems is a challenging task and of grave importance for dexterous object manipulation such as robotics, prosthetics and augmented reality [1-4] . As the psychophysical dimensions of the material properties cover a wide range of percepts, embedded tactile perception systems require efficient signal feature extraction and classification techniques to process signals collected by tactile sensors in real-time.
- Categories: