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Published in Philip A. Laplante, Comprehensive Dictionary of Electrical Engineering, 2018
joint time frequency analysis (JTFA) techniques the aim of which is to represent and characterize a signal in time and frequency domain simultaneously by using different kinds of transformation and kernel functions. See harmonic balance technique. Joint Tactical Information Distribution System (JTIDS) system that uses spread spectrum techniques for secure digital communications; used for military applications. joint transform correlator a type of optical correlator that employs two parallel paths, one for each signal, instead of an in-line cascade. joystick an input device in the form of a control lever that transmits its movement in two dimensions to a computer. Joysticks are often used in games for control. They may also have a number of buttons whose state can be read by the computer. JPEG See Joint Photographic Experts Group. See Joint Photographic Experts
Analog Joystick
Published in Hossam Fattah, LTE™ Cellular Narrowband Internet of Things (NB-IoT), 2021
The basic idea of a joystick is to translate the stick position on two axes; the X-axis (left and right) and the Y-axis (up and down) into electronic information which the NB board can process. The design of the joystick consists of two potentiometers that interprets the position of the X and Y position of the joystick as an analog reading. if you push the stick all the way forward, it turns the potentiometer contact arm to one end of the track, and if you pull it back toward you, it turns the contact arm the other way. Additionally, the Joystick can be pressed down to activate a ”press to select” push button.
Resistors and resistive circuits
Published in Joe Cieszynski, David Fox, Electronics for Service Engineers, 2012
Another common application of the potentiometer is in joysticks. Here two controls, usually of the rotary type, are mounted at right angles to each other. The stick is mechanically connected to these controls in such a way that forward and back movement causes one control to rotate, whilst side to side movement causes the other control to rotate. The equipment connected to the joystick, e.g. a computer, can ascertain the position of the stick by reading the value of the two variable resistors. The principle is shown in Figure 6.15.
An approach to develop haptic feedback control reference for steering systems using open-loop driving manoeuvres
Published in Vehicle System Dynamics, 2020
T. Chugh, F. Bruzelius, M. Klomp, B. Shyrokau
One of the most important features for a typical human–machine interaction is haptic feedback. The term ‘haptic’ coined from the Greek word ‘Haptikos’ meaning a sensation of touch. There has been a lot of research done in this field depending on the application type for the fulfilment of a desired human–machine interface (HMI). For instance, the importance of haptic feedback for a surgeon in robotic surgery is unquestionable. The technical challenge of providing an appropriate force-feedback (FFb) and ‘transparency’ due to difficulty in modelling the haptic reference (and its quantification) is clearly explained in [1,2]. A typical control architecture involves haptic reference and its feedback controller. For a desired haptic reference, the controller should maintain a balance between the objectives: stability and transparency, see [3] for more details. Other real-time haptic feedback applications, on similar grounds, include flight joystick or yoke control [4], examples of telerobotics [5–8], etc. A common conclusion can be deduced from these case studies that the availability of a relevant haptic feedback is essential for an enhanced human interaction regardless of the machine type.
Attitude Indicator Design in Primary Flight Display: Revisiting an Old Issue With Current Technology
Published in The International Journal of Aerospace Psychology, 2018
Simon Müller, Vitalij Sadovitch, Dietrich Manzey
The experiments were conducted in a PC-based flight simulator. It consisted of a cockpit panel mock-up (Cessna 172 Skyhawk SP G1000) with an integrated screen displaying a PFD and an outside-view projection on the wall approximately 1.2 m in front of the mock-up cockpit. The PFD design corresponded in almost all aspects to the PFD currently used in the A320. Some adaptations were made with respect to the implementation of the two AI formats (MA and MH) and both design types; that is, classic and extended horizon (see Figure 1). All PFDs were 12.6 cm high and 19.9 cm wide. The AI of the classic PFDs was 8.3 cm high and 7.1 cm wide. The participants were placed in usual seating distance to the PFD (approximately 60 cm). The input device consisted of a commercially available Logitech Extreme 3D Pro joystick. The simulation was a reduced linear flight model with two degrees of freedom, one each in pitch and bank. The input deflections of the joystick were linearly transferred into pitch and bank rates. There was no need for thrust control. The outside view was generated using the X-Plane 10 flight simulation.
Towards the development of an intuitive teleoperation system for human support robot using a VR device
Published in Advanced Robotics, 2020
Jun Nakanishi, Shunki Itadera, Tadayoshi Aoyama, Yasuhisa Hasegawa
The aim of this paper is twofold. First, we introduce rapid prototyping of an affordable teleoperation system for HSR using commercially available devices to be fit with the available software and hardware application programming interfaces (APIs) provided by the manufacturer [1]. Our goal is to build an integrated and easy-to-use user interface by fully utilizing the mobility and sensing capabilities of HSR to achieve intuitive and natural teleoperation of the robot. Our recent related work include the development of intuitive user interfaces for neurosurgical assistive robotic devices [24], physical human–robot interaction-based assistive mobility aid [25] and robotic gait assistance [26,27] from a viewpoint of assistive robotics. Formerly, joystick-based teleoperation control was attempted to control its preceding prototype for functional evaluation of the morphology of the robot in the design process of HSR [1] and demonstration of the tasks by a human operator for action learning [7,8]. However, due to the lack of intuitiveness in coordinating the degrees of freedom (DoFs) of the base and the arm of the robot by a joystick input device, one can observe that much effort was needed to perform even simple tasks. Second, we empirically evaluate the potential capability of HSR, being widely used as a standard platform for the purpose of investigations on human support, in performing daily tasks with manual control via human teleoperation. Results reported in this paper could be used as a baseline for future comparison in the case of fully autonomous control and also provide helpful insights into the design of human support robots working in daily environments.