Identifying the effectiveness of using three different haptic devices for providing non-visual access to the web

Zhu, Shaojian; Kuber, Ravi; Tretter, Matthew; O'Modhrain, M. Sile

doi:10.1016/j.intcom.2011.08.001

Cited by 13 publications

(8 citation statements)

References 34 publications

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“…Thus, considerable effort has been devoted to the development of less expensive systems that can be easily used for outpatient rehabilitation, without the supervision by a therapist. In addition, the need of providing rehabilitation treatments beyond the hospital stay has generated substantial interest in models exploring robotics-based technology to extend rehabilitation therapy and assessment to home environments [ 25 - 31 ].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the Falcon is characterized by a very low friction and a robust actuation [ 28 ] mechanism. These advantages, along with the transparency of the control interface, have enabled a wide spectrum of medical applications for the Falcon since its first usability test in [ 26 ], including: non-visual web interactions [ 31 ], finger-tip force measurement [ 27 ], and three-dimensional (3D) force stimulation [ 30 ]. In addition, recent efforts are starting to explore its use in neuro-rehabilitation treatments [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

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Can Force Feedback and Science Learning Enhance the Effectiveness of Neuro-Rehabilitation? An Experimental Study on Using a Low-Cost 3D Joystick and a Virtual Visit to a Zoo

et al. 2013

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In this paper, we demonstrate that healthy adults respond differentially to the administration of force feedback and the presentation of scientific content in a virtual environment, where they interact with a low-cost haptic device. Subjects are tasked with controlling the movement of a cursor on a predefined trajectory that is superimposed on a map of New York City’s Bronx Zoo. The system is characterized in terms of a suite of objective indices quantifying the subjects’ dexterity in planning and generating the multijoint visuomotor tasks. We find that force feedback regulates the smoothness, accuracy, and duration of the subject’s movement, whereby converging or diverging force fields influence the range of variations of the hand speed. Finally, our findings provide preliminary evidence that using educational content increases subjects’ satisfaction. Improving the level of interest through the inclusion of learning elements can increase the time spent performing rehabilitation tasks and promote learning in a new context.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Can Force Feedback and Science Learning Enhance the Effectiveness of Neuro-Rehabilitation? An Experimental Study on Using a Low-Cost 3D Joystick and a Virtual Visit to a Zoo

et al. 2013

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“…The purpose of the new velocity is to reduce abrupt high positional fluctuation by using moving average smoothing technique in order to provide true underlying behavior of the movement. In equation, (5), the predicted position of local peer is obtained from either new velocity or current velocity based on the condition, multiply the cross referencing velocity from local peer. Then, the calculated result is multiplied with the delay time between received local time stamp and current time of remote peer and lastly sum with received local position.…”

Section: B Network-adaptive Erpp Algorithmmentioning

confidence: 99%

“…For example, Cha et al [1] have built a prototype for interpersonal haptic communication system to remotely "hug" a person over the Internet.. The current use of haptic applications over networks includes: medical surgery simulation [2], rehabilitation helper [3], explosive ordnances disposal [4], disabilities education [5] driving simulation [6] and interactive gaming [7] with distributed haptic virtual environment (DHVE) and so forth. Unlike audio and visual data, haptic communication is achieved by utilizing real-time bilateral (two-way direction) interactive control.…”

Section: Introductionmentioning

confidence: 99%

A network-adaptive compensation technique for tele-haptics using position prediction algorithm

Tee

Yap

et al. 2013

2013 IEEE International Symposium on Haptic Audio Visual Environments and Games (HAVE)

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Haptic interfaces have been applied as controllers in many areas especially tele-operation and distributed virtual environments. They are used to manipulate objects in both physical and virtual environments. Haptics enhance force interactions and provides a better immersive user experience. Moreover haptic devices inherently function in close proximity to humans. In the case of network-based haptic control, the network criteria for stability in haptic interactions are much more sophisticated than that for tethered devices and the kinematic and force data are required to be transferred over communication link within a stringent time. Otherwise, users may feel unexpected vibration or abrupt force even when the device is in free motion. This is mainly due to position desynchronization between local and remote environments. This paper addresses position synchronization which is the essential problem to lose stability of haptic experience under the influence of network and system impairments. A novel encoder referencing position synchronization algorithm is proposed in order to compensate the network latency and packet loss over network. This has been successfully tested under influence of the network impairment and low transmission rates.

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“…This information is transmitted over a computer network, between physically distant human beings, or between a local user and a remote location. Typical tele-haptic applications encompass medical [3][4], simulation [5] [6], interactive gaming [7], and so forth.…”

Section: Introductionmentioning

confidence: 99%

A Network-Adaptive Prediction Algorithm for Haptic Data Under Network Impairments

et al. 2021

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Real-time tele-haptic applications require capturing, compressing, transmitting, and displaying haptic information, which includes tactile and kinesthetic information. To achieve a high quality of service (QoS), real-time haptic data stream synchronization between local and remote environments is required. However, transmission of data over a computer network is often affected by network impairments, such as network delay, jitter, and packet loss, thus leading to system instability and poor performance. Current prediction algorithms for networked haptics comprise perceptual data reduction, traffic prioritization approaches, congestion control approaches, and radio resource allocation. However, the mentioned prediction algorithms either do not consider packet loss and time-varying delays (i.e., jitter) in their experimental setup, or only consider packet loss or delays. In real-world network environments, both packet loss and delays often occur simultaneously. In this work, a network adaptive Trust Strategy Prediction (TSP) algorithm was modified to work under both network impairments. The objective of the TSP is to maintain real-time haptic synchronization (haptic data stream synchronization) between the haptic interactive environments, by compensating network impairments using selective and specific prediction strategies, according to changes in the network's characteristics. The experimental results demonstrate that TSP offers greater accuracy and smaller inconsistencies in terms of the predicted position, compared to the dead reckoning prediction and velocity estimation, which is often employed with filtering techniques.

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Identifying the effectiveness of using three different haptic devices for providing non-visual access to the web

Cited by 13 publications

References 34 publications

Can Force Feedback and Science Learning Enhance the Effectiveness of Neuro-Rehabilitation? An Experimental Study on Using a Low-Cost 3D Joystick and a Virtual Visit to a Zoo

Can Force Feedback and Science Learning Enhance the Effectiveness of Neuro-Rehabilitation? An Experimental Study on Using a Low-Cost 3D Joystick and a Virtual Visit to a Zoo

A network-adaptive compensation technique for tele-haptics using position prediction algorithm

A Network-Adaptive Prediction Algorithm for Haptic Data Under Network Impairments

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