Sensors
The data format is described as follows:
Event: {‘acc’: array([[x_axis], [y_axis], [z_axis], ‘gyr’,array([x_axis], [y_axis], [z_axis], ‘label’: No ]
No =1 means acceleration.
No =2 means normal driving.
No =3 means collision.
No =4 means left turn.
No =5 means right turn.
- Categories:
4892 Views
Orientation tracking of a moving object has a wide
variety of applications, including but not limited to military,
surgical aid, navigation systems, mobile robots, gaming, virtual
reality, and gesture recognition. In this article, a novel algorithm
is presented to automatically track and quantify change of
direction (COD) incident angles or heading angles (i.e. turning
angles) of a moving athlete using the inertial sensor signals from
a microtechnology unit (an inertia measurement unit (IMU))
- Categories:
349 Views
This repository contains ROS bags with measurements related to the article "Forklift Positioning System for Pallet Tracking in Industrial Environments". The dataset includes measurements from UWB tags, IMU, Magnetometer and Px4Flow simulated in Gazebo. Also includes the position estimations calculated using the algorithm described in the related paper.
- Categories:
493 Views
This repository contains a data base of Cell Signal Quality samples obtained from 4 COTS cellphones. Data shows the dynamics of the cellular signal, and how these can be affected by the presence of human body nearby.
- Categories:
491 Views
Deleted
- Categories:
502 Views
This is the maintenance service dataset collected in a smart water dispenser company in the year of 2017.
- Categories:
478 Views
The electronic system has been design to know the position human body. Of this way the system use a three axis accelerometer to detect five common positions (i) ventral decubitus, (ii) right lateral decubitus, (iii) left lateral decubitus, (iv) supine decubitus and (v) seated. The sensor data was acquire with ten diferrents persons, their each positions was how they felt confortable. The accelerometer acquire data from 3 axis possible (X,Y,Z)
- Categories:
1620 Views
The impact of high curvature bending on thin film transistor(TFT) performance is of interest for flexible electronics. Bending influences TFT performance in two ways. First due to mechanical stress and second due to the pure geometric effect of converting a planar architecture to a cylindrical one. Experiments to simultaneously create and yet distinguish these two effects are difficult. Analytical models are required to identify the individual impact of stress and geometry. The goal of this work is to identify the purely geometrical impact on TFT characteristics.
- Categories:
165 Views
Pressure position sensors and actuators are represented by red large and blue circles on the seating, respectively. Black circles display ultrasound sensors in the backrest, yellow arrows show output peripheral, and red arrows indicate peripheral input into the analog-digital converter.
S1= Preasure sensor, value 0-1023 decimal
S2= Preasure sensor, value 0-1023 decimal
S3= Preasure sensor, value 0-1023 decimal
S4= Ultrasonic sensor, value 0-15 cm
- Categories:
1287 Views
# .PCD v0.7 - Point Cloud Data file formatVERSION 0.7FIELDS x y z rgbSIZE 4 4 4 4TYPE F F F FCOUNT 1 1 1 1WIDTH 2057209HEIGHT 1VIEWPOINT 0 0 0 1 0 0 0POINTS 2057209DATA ascii # .PCD v0.7 - Point Cloud Data file formatVERSION 0.7FIELDS x y z rgbSIZE 4 4 4 4TYPE F F F FCOUNT 1 1 1 1WIDTH 921568HEIGHT 1VIEWPOINT 0 0 0 1 0 0 0POINTS 921568DATA ascii
- Categories:
2949 Views