Acoustic display for navigation in Internet-based teleoperation

Liu, P.R.; Meng, Max Q.-H.

doi:10.1109/iros.2005.1545300

Cited by 8 publications

(5 citation statements)

References 10 publications

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“…Conveniently, augmented feedback can be used to convey artificial proprioceptive and exteroceptive information 21,29 , which may help to develop strong internal models. Researchers have used audio augmented feedback in both robotic teleoperation 30,31 and Brain Computer Interfaces (BCI) 32 and have concluded that audio augmented feedback improves performance. Unlike visual feedback, audio requires less focus of attention and reduces distraction 33,34 .…”

Section: Introductionmentioning

confidence: 99%

Audible Feedback Improves Internal Model Strength and Performance of Myoelectric Prosthesis Control

Shehata

Scheme

Sensinger

2018

Preprint

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Myoelectric prosthetic devices are commonly used to help upper limb amputees perform activities of daily living, however amputees still lack the sensory feedback required to facilitate reliable and precise control. Augmented feedback may play an important role in affecting both short-term performance, through real-time regulation, and long-term performance, through the development of stronger internal models. In this work, we investigate the potential tradeoff between controllers that enable better short-term performance and those that provide sufficient feedback to develop a strong internal model. We hypothesize that augmented feedback may be used to mitigate this tradeoff, ultimately improving both short and long-term control. We used psychometric measures to assess the internal model developed while using a filtered myoelectric controller with augmented audio feedback, imitating classification-based control but with augmented regression-based feedback. In addition, we evaluated the short-term performance using a multi degree-of-freedom constrained-time target acquisition task. Results obtained from 24 able-bodied subjects show that an augmented feedback control strategy using audio cues enables the development of a stronger internal model than the filtered control with filtered feedback, and significantly better path efficiency than both raw and filtered control strategies. These results suggest that the use of augmented feedback control strategies may improve both short-term and long-term performance.

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Section: Introductionmentioning

confidence: 99%

Audible Feedback Improves Internal Model Strength and Performance of Myoelectric Prosthesis Control

Shehata

Scheme

Sensinger

2018

Preprint

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“…This may be partially due to the fact that an intuitive, direct relationship is often hard to form between visual-tactile and auditory input. Solutions have been proposed for specialized tasks, such as the use of auditory icons in GUIs to complement visual information ( [3]), or the internet-based teleoperation of a robot dog ( [8]). However, there were no investigations about how far we can go in using acoustic signals (i.e., sensory overloading), as well as whether or not the choice of auditory CCCs is arbitrary.…”

Section: Introductionmentioning

confidence: 99%

Automated pairing between physical control parameters and coding parameters in auditory cognitive communication channels

Csapó¹,

Resko²,

Sziebig³

et al. 2009

2009 2nd Conference on Human System Interactions

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We refer to channels of communication which link the user to various electronic appliances and computers as cognitive communication channels. One especially interesting research topic related to cognitive communication channels deals with a special application called sensory substitution, when information is conveyed through a channel other than the one that is normally used. Sensory substitution can have benefits when designing user interfaces both in terms of costeffectiveness, as well as the prevention of channel overloading. In this paper, we propose a unified approach to study the relationship between physical parameters and coding parameters that can be used to convey control information through auditory cognitive channels. The foundations for a representation which allows for the automated pairing of physical parameters to cognitive channels are also presented.

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“…seeing based on pressure applied to the tongue or other parts of the body [7], seeing based on auditory feedback [8], or seeing through the cutaneous sense [9]). Finally, in remotely teleoperated robot systems (such as internet-based teleoperation), sensory substitution has been used to substitute feedback channels that are rich in redundant information (such as visual feedback) with channels that require the transmission of relatively less data in order to alleviate problems caused by network delays [10], [11].…”

mentioning

confidence: 99%

“…This may be partially due to the fact that an intuitive, direct relationship is often hard to form between visual-tactile and auditory input. Solutions have been proposed for specialized tasks, such as the use of auditory icons in OUIs to complement visual information ( [12]), or the internetbased teleoperation of a robot dog ( [10]). However, there were no investigations about how far we can go in using acoustic signals (i.e., sensory overloading), as well as whether or not the pairing of auditory CCCs and physical parameters is arbitrary once a set of non-conflicting sounds have been chosen.…”

mentioning

confidence: 99%

Substitution of haptic gloves using audio interfaces in robot control

Csapó

Reskó

Bárányi

et al. 2009

2009 IEEE International Symposium on Industrial Electronics

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We refer to channels of communication which link the user to various electronic appliances and computers as cognitive communication channels. One especially interesting research topic related to cognitive communication channels deals with a special application called sensory substitution, when information is conveyed through a channel other than the one that is normally used. Besides offering a glimpse of hope to those living with injured sensory organs, sensory substitution can have benefits when designing user interfaces in terms of cost-effectiveness, the reduction of network delays, as well as the prevention of channel overloading. One such application in robot control could be the substitution of haptic feedback gloves (which are costly, bulky and have relatively few vibration states) using parameterrich audio interfaces. In this paper, we propose the foundations of a framework for user-directed, interactive experimentation with haptic feedback using auditory cognitive communiation channels. Within the presented framework, the paper deals with an approach to describe the relationship between physical parameters and coding parameters that can be used to convey control information through auditory cognitive channels.

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Acoustic display for navigation in Internet-based teleoperation

Cited by 8 publications

References 10 publications

Audible Feedback Improves Internal Model Strength and Performance of Myoelectric Prosthesis Control

Audible Feedback Improves Internal Model Strength and Performance of Myoelectric Prosthesis Control

Automated pairing between physical control parameters and coding parameters in auditory cognitive communication channels

Substitution of haptic gloves using audio interfaces in robot control

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