Effects of Kinesthetic and Cutaneous Stimulation During the Learning of a Viscous Force Field

Rosati, Giulio; Oscari, Fabio; Pacchierotti, Claudio; Prattichizzo, Domenico

doi:10.1109/toh.2013.2296312

Cited by 13 publications

(13 citation statements)

References 45 publications

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“…Some previous works showed that in general motor skills retention is improved by using augmented feedback (Molier et al, 2010;Thorpe and Valvano, 2002;Vliet and Wulf, 2006), while other works postulated that learners come to depend on the augmented feedback and their performance suffers when it is removed (Salmoni, Schmidt and Walter, 1984;Schmidt and Bjork, 1992). Consequently, more studies are necessary in order to draw conclusive statements about the impact of force feedback on the transfer of motor skills (Rosati et al, 2014;Williams and Carnahan;.…”

Section: Accepted M M a N U mentioning

confidence: 99%

“…This decision was based on 1) previous studies (Hasan, Yano, and Buss, 2008;Morris et al, 2007;Rissanen et al, 2007) that have demonstrated that visual feedback may accelerate and improve the learning of force profiles, and 2) previous studies that have shown that visual feedback contributes to the formation of mental models because it can influence adaptation to a dynamic environment (Rosati et al, 2014).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

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Learning force patterns with a multimodal system using contextual cues

Rodríguez

Gutiérrez

Portillo

et al. 2018

International Journal of Human-Computer Studies

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.Highlights  A new interaction technique based on contextual information using a multimodal system for force pattern learning is proposed. Using the contextual information approach, the trainees obtain information about the evolution of their performance along the time (helping to correct the errors). The findings suggest that the contextual information provides a better trainee's performance than the punctual information. One drawback of the training strategies based on punctual feedback is the difficulty that users have in interpreting the information. The contextual approach could be used to extend the capabilities of haptic training procedures based on haptic guidance to provide information about the level of force to be applied during the execution of a specific task.Abstract -Previous studies on learning force patterns (fine motor skills) have focused on providing "punctual information", which means users only receive information about their performance at the current time step. This work proposes a new approach based on "contextual information", in which users receive information not only about the current time step, but also about the past (how the target force has changed over time) and the future (how the target force will change). A test was run to compare the performance of the contextual approach in relation to the punctual information, in which each participant had to memorize and then reproduce a pattern of force after training with a multimodal system. The findings suggest that the contextual approach is a useful strategy for force pattern learning. The advantage of the contextual information approach over the punctual information approach is that users receive information about the evolution of their performance (helping to correct the errors), and they also receive information about the next forces to be exerted (providing them with a better understanding of the target force profile). Finally, the contextual approach could be implemented in medical training platforms or surgical robots to extend the capabilities of these systems.

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Section: Accepted M M a N U mentioning

confidence: 99%

Section: Accepted Manuscriptmentioning

confidence: 99%

Learning force patterns with a multimodal system using contextual cues

Rodríguez

Gutiérrez

Portillo

et al. 2018

International Journal of Human-Computer Studies

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“…The mechanism is driven by a tendon z 6 that, sliding into the pipe in Q, pushes or pulls the link z 7 that is rigidly connected to z 4 . The rigid body represented by z 4 and z 7 works as the crank link of the four-bar linkage; the link z 8 represents instead the frame of the drive mechanism QPB. In the mechanical design of the mechanism, z 6 was implemented by means of two push-pull flexible cables, enclosed in bent aluminum pipes, as shown in Figure 3.…”

Section: Slave Device With Vs-seamentioning

confidence: 99%

Design and Construction of a Bilateral Haptic System for the Remote Assessment of the Stiffness and Range of Motion of the Hand

Oscari¹,

Oboe²,

Daud³

et al. 2016

Preprint

Self Cite

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Abstract:The use of haptic devices in the rehabilitation of impaired limbs has become rather popular, given the proven effectiveness in promoting recovery. In a standard framework, such devices are used in rehabilitation centers, where patients interact with virtual tasks, presented on a screen. To track their sessions, kinematic/dynamic parameters or performance scores are recorded. However, as Internet access is now available at almost every home and in order to reduce the hospitalization time of the patient, the idea of doing rehabilitation at home is gaining wide consent. Medical care programs can be synchronized with the home rehabilitation device; patient data can be sent to the central server that could redirect to the therapist laptop (tele-healthcare). The controversial issue is that the recorded data do not actually represent the clinical conditions of the patients according to the medical assessment scales, forcing them to frequently undergo clinical tests at the hospital. To respond to this demand, we propose the use of a bilateral master/slave haptic system that could allow the clinician, who interacts with the master, to assess remotely and in real time the clinical conditions of the patient that uses the home rehabilitation device as the slave. In this paper, we describe a proof of concept to highlight the main issues of such an application, limited to one degree of freedom, and to the measure of the stiffness and range of motion of the hand.

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“…That is, force and vibrotactile cues are collocated to cause the users' cognitive responses for their action [1]. Due to design restriction and implementation of haptic devices, force and vibrotactile cues could be collocated or dislocated for 3D user interaction within VEs [13,15]. Proper integration of both cues is therefore paramount for creating intuitive VEs and facilitating 3D interaction.…”

Section: Introductionmentioning

confidence: 99%