Exploring the tactile modality for HMDs

Myles, Kimberly; Binseel, Mary S.

doi:10.1037/e614362011-019

Cited by 5 publications

(6 citation statements)

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“…Similar occurrences were also found in the results of Myles and Kalb (2010). Further, Myles and Binseel (2007) stated that frequencies above 150 Hz are not recommended, due to causing headaches, nausea and other medical conditions. It could not be precisely determined whether these complaints were triggered by the vibrotactile feedback, auditory feedback or both.…”

Section: Discussionsupporting

confidence: 77%

“…Current studies have shown that placement is crucial for a well-matched feedback (Sigrist et al, 2013;Borg et al, 2001;Myles and Kalb, 2010;Rantala et al, 2014). Applications for stimulus locations such as the head and chest were tested in guidance vests, belts, helmets and glasses (Borg et al, 2001;Myles and Kalb, 2010;Myles and Binseel, 2007;Rantala et al, 2014). The results showed that tactile feedback is improving the completion time of gaze gestures depending on the duration of the stimulus (Kangas et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of precision, accuracy and threshold for the design of vibrotactile feedback in eye tracking applications

Fischer

Wendt

Stiglmeier

et al. 2023

J. Sens. Sens. Syst.

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Abstract. Novel approaches for the design of assistive technology controls propose the usage of eye tracking devices such as for smart wheelchairs and robotic arms. The advantages of artificial feedback, especially vibrotactile feedback, as opposed to their use in prostheses, have not been sufficiently explored. Vibrotactile feedback reduces the cognitive load on the visual and auditory channel. It provides tactile sensation, resulting in better use of assistive technologies. In this study the impact of vibration on the precision and accuracy of a head-worn eye tracking device is investigated. The presented system is suitable for further research in the field of artificial feedback. Vibration was perceivable for all participants, yet it does not produce any significant deviations in precision and accuracy.

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Section: Discussionsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Evaluation of precision, accuracy and threshold for the design of vibrotactile feedback in eye tracking applications

Fischer

Wendt

Stiglmeier

et al. 2023

J. Sens. Sens. Syst.

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show abstract

“…The vibrotactile actuators were situated on the back of the left hand. The back of the hand may be advantageous since it has been found that vibrations are best on hairy bones (Bear et al 2007, Myle andBinseel 2007). In Table 1.…”

Section: Hardware Designmentioning

confidence: 99%

Structural health monitoring for bolt loosening via a non-invasive vibro-haptics human–machine cooperative interface

Pekedis

Mascerañas

Turan

et al. 2015

Smart Mater. Struct.

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For the last two decades, developments in damage detection algorithms have greatly increased the potential for autonomous decisions about structural health. However, we are still struggling to build autonomous tools that can match the ability of a human to detect and localize the quantity of damage in structures. Therefore, there is a growing interest in merging the computational and cognitive concepts to improve the solution of structural health monitoring (SHM). The main object of this research is to apply the human-machine cooperative approach on a tower structure to detect damage. The cooperation approach includes haptic tools to create an appropriate collaboration between SHM sensor networks, statistical compression techniques and humans. Damage simulation in the structure is conducted by releasing some of the bolt loads. Accelerometers are bonded to various locations of the tower members to acquire the dynamic response of the structure. The obtained accelerometer results are encoded in three different ways to represent them as a haptic stimulus for the human subjects. Then, the participants are subjected to each of these stimuli to detect the bolt loosened damage in the tower. Results obtained from the human-machine cooperation demonstrate that the human subjects were able to recognize the damage with an accuracy of 88 ± 20.21% and response time of 5.87 ± 2.33 s. As a result, it is concluded that the currently developed human-machine cooperation SHM may provide a useful framework to interact with abstract entities such as data from a sensor network.

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“…Recently, tactile pressure sensors fabricated over an arbitrary substrate, or artificial skins, are being developed for possible applications ranging from touch sensitive robotic interfaces to biomedical instrumentation [ 1 , 2 , 3 , 4 ]. As pressure sensors, they are required to have high pressure sensitivity, low pressure threshold [ 5 , 6 ] and wide sensing range [ 7 , 8 ]. At the same time, the sensors are required to have uniformity and reliability with high spatial resolution [ 9 ], and they consist a system with multiple arrays of these sensors.…”

Section: Introductionmentioning

confidence: 99%

Contact Pressure Level Indication Using Stepped Output Tactile Sensors

Choi

Sul

Kim

et al. 2016

Sensors

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In this article, we report on a novel diaphragm-type tactile pressure sensor that produces stepwise output currents depending on varying low contact pressures. When contact pressures are applied to the stepped output tactile sensor (SOTS), the sensor’s suspended diaphragm makes contact with the substrate, which completes a circuit by connecting resistive current paths. Then the contact area, and therefore the number of current paths, would determine the stepped output current produced. This mechanism allows SOTS to have high signal-to-noise ratio (>20 dB) in the 3–500 Hz frequency range at contact pressures below 15 kPa. Moreover, since the sensor’s operation does not depend on a material’s pressure-dependent electrical properties, the SOTS is able to demonstrate high reproducibility and reliability. By forming a 4 × 4 array of SOTS with a surface bump structure, we demonstrated shear sensing as well as surface (1 × 1 cm2) pressure mapping capabilities.

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Exploring the tactile modality for HMDs

Cited by 5 publications

References 0 publications

Evaluation of precision, accuracy and threshold for the design of vibrotactile feedback in eye tracking applications

Evaluation of precision, accuracy and threshold for the design of vibrotactile feedback in eye tracking applications

Structural health monitoring for bolt loosening via a non-invasive vibro-haptics human–machine cooperative interface

Contact Pressure Level Indication Using Stepped Output Tactile Sensors

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