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Recent Advances and Future Trends of IoT-Based Devices
Published in Deepti Agarwal, Kimmi Verma, Shabana Urooj, Energy Harvesting, 2023
Punit Kumar Singh, Sudhakar Singh, Ashish, Hassan Usman, Shabana Urooj
Haptic technology in telesurgery, which creates a virtual picture of a patient or incision, would allow a surgeon to see and feel what they are operating on. This technique is intended to provide a surgeon with the capacity to feel tendons and muscles as if they were in the patient’s body.
Robotics and Sensors: Environmental Applications
Published in John G. Webster, Halit Eren, Measurement, Instrumentation, and Sensors Handbook, 2017
Haptic technology gives the robot the sense of touch by using tactile sensing which provides feedback by measuring forces and pressure. Research in the area of haptic sensing is in its infancy but is gaining momentum. Haptic sensors are employed in such scenarios where the robot has to manipulate objects. It helps the robot to discriminate between rigid and soft objects so that the gripping forces can be adjusted accordingly. Tactile sensors also give a feel of the object’s profile (shape) which in turn helps the robot to decide on the optimal orientation for gripping. The integration of haptic sensors to refine information provided by vision sensors is a very promising approach in the development of autonomous robotic systems.
Device Capabilities Leveraged in Apps Location, Magnetometer, Motion Sensor, Touch, and Scanner
Published in Jithesh Sathyan, Anoop Narayanan, Navin Narayan, K V Shibu, A Comprehensive Guide to Enterprise Mobility, 2016
Jithesh Sathyan, Anoop Narayanan, Navin Narayan, K V Shibu
Haptic technology allows the user to feel different surfaces when the user moves a finger over the surface. Usually, this feel is generated by the vibrator in the device. Users often get a vibration as an acknowledgement for the user's action on the display screen. Numerous researches are going on in this field. Apple has come up with solutions for better usage of haptics. One solution is to have a grid of piezoelectric actuators that can be activated by commands. Users will get different touch sensations when a finger is moved across different parts of the screen. Users may even move fingers across the display without even looking at the device to sense the position of the controls to click.
A Systematic Review of Human–Computer Interaction (HCI) Research in Medical and Other Engineering Fields
Published in International Journal of Human–Computer Interaction, 2022
Alireza Sadeghi Milani, Aaron Cecil-Xavier, Avinash Gupta, J. Cecil, Shelia Kennison
Haptic technology, also known as kinesthetic communication or 3D touch, refers to any technology that can create an experience of touch by applying forces, vibrations, or motions to the user. Haptic technology is gaining widespread acceptance as a key part of VR system, adding the sense of touch to previously visual-only interfaces. Haptic technology facilitates the investigation of how the human sense of touch works by allowing the creation of controlled haptic virtual objects. Haptic technology has enabled the development of telepresence surgery, allowing expert surgeons to operate on patients from a distance. To realize the full promise of VEs and teleoperation, further development of haptic interfaces is critical. Existing VR systems possess realistic visual and auditory feedbacks, haptic feedback is far from the user’s perceptual expectations (Otaduy et al., 2013). To be able to interact with an environment, there must be feedback. In human–computer interaction (HCI), haptic feedback includes both tactile and force feedback. Tactile refers to the sensations felt by the skin and force refers to reproducing directional forces that result from solid boundaries. Haptic feedback is used for simulations that require direct contact between the user-driven avatar and the manipulated objects. It is also used to engage more of the user’s senses to provide a deeper and more immersive experience.
Smooth and safe tram journeys: tram driver perspectives and opportunities using a haptic master controller in a virtual reality environment
Published in Ergonomics, 2022
Tiziana C. Callari, Michael Mortimer, Louise Moody, Mehdi Seyedmahmoudian, Ryan Lewis, Ben Horan
Haptic technology has been used in driving simulators to represent the physical forces present on steering wheels and pedals (Ambrož et al. 2012; Osgouei, Lee, and Choi 2013; Thiel and McConnell 2014). The use of haptic guidance in driver training and driver assist functionality has shown promise in communicating a wide variety of vehicle information to the driver. Research has shown that haptic guidance can help improve shared control and support drivers in performing optimal steering actions by reducing steering activity and producing smoother actions during the navigation of curves (Mulder, Abbink, and Boer 2008). This was achieved through communicating the lateral error between the ideal reference path and the vehicles relative position continuously and producing guiding forces on the haptic steering wheel. Haptic guidance can also assist reverse parking through a similar technique (Hirokawa et al. 2014) to guide correct and well-timed steering actions. Results showed that drivers who were provided with haptics guidance performed significantly better.
Augmented reality technology in the manufacturing industry: A review of the last decade
Published in IISE Transactions, 2019
Eleonora Bottani, Giuseppe Vignali
In line with these argumentations, in this area technical AR solutions mainly aim at supporting inspectors during the on-field inspection/diagnosis of a machine or when carrying out maintenance tasks (De Marchi et al., 2013), covering also facility maintenance (Koch et al., 2014). The use of AR is expected to avoid delays and possible mistakes during maintenance activities, thus decreasing the related costs (Benbelkacem et al., 2013). Telerobotics is the area of robotics concerned with the control of semi-autonomous robots from a distance (Sheridan, 1989; Goldberg and Siegwart, 2001). In this field, only two technical solutions for the usage of AR were developed, i.e., an AR user interface for nanoscale interaction (Vogl et al.,2006) and a real-time client-server system that can be integrated with 3D AR services (Al-Mouhamed et al., 2006). Visualization issues have been dealt with by Klein and Murray (2010), who proposed a method to model the artifacts produced by a small low-cost camera and add these effects to an ideal pinhole image produced by conventional rendering methods. Sensors (i.e., typically “inertial sensors” of mobile devices) are used in AR environment to estimate the position, inclination, or movement of an object; they have been used to this end by Chandaria et al. (2007) and Han and Zhao (2015). An HMD is a display device, worn on the head or as part of a helmet, with one or two small displays; an exhaustive examination of display systems (including HMDs) suitable for adoption in AR environments has been made by Weng et al. (2012). Kellner et al. (2012) have instead addressed the issue of calibrating these devices for their optimal usage in AR or VR environments. “Haptic” is a term derived from the Greek word “hapticos,” i.e., pertaining to the sense of touch; accordingly, haptic technology is a way to recreate the sense of touch by applying forces, vibrations, or motions to the user (El Saddik et al., 2011). Haptic AR systems (also called visuo-haptic augmented reality) enable users to see and touch digital information that is embedded in the real world (Eck et al., 2015). Van West et al. (2007) have developed the “haptic tweezer,” i.e. a combination of haptic technology and an electrostatic levitation system that allows manipulating objects without direct contact; this technological solution can be useful when manipulating fragile or contaminated components, as it avoids touching them. Another technical solution was developed by Henderson and Feiner (2010), to integrate haptic technology and opportunistic controls, i.e., a class of user interaction techniques for AR applications that support gesturing on and receiving feedback from affordances already present in the domain environment (Henderson and Feiner, 2008).