Haptic augmented reality dental trainer with automatic performance assessment

Rhienmora, Phattanapon; Gajananan, Kugamoorthy; Haddawy, Peter; Suebnukarn, Siriwan; Dailey, Matthew N.; Supataratarn, Ekarin; Shrestha, Poonam

doi:10.1145/1719970.1720054

Cited by 15 publications

(13 citation statements)

References 3 publications

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“…Although rare in current UIs, results on physical guidance may be relevant to interfaces that use force-and tactile-feedback, such as training aids for dentistry procedures [Rhienmora et al 2010] and teaching the blind to write signatures [Plimmer et al 2008]. Furthermore, many UIs exploit some form of dynamic visual guide or "feedforward" to assist users in performing their task.…”

Section: Guidancementioning

confidence: 99%

Supporting Novice to Expert Transitions in User Interfaces

et al. 2014

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Interface design guidelines encourage designers to provide high-performance mechanisms for expert users. However, research shows that many expert interface components are seldom used and that there is a tendency for users to persistently fail to adopt faster methods for completing their work. This article summarizes and organizes research relevant to supporting users in making successful transitions to expert levels of performance. First, we provide a brief introduction to the underlying human factors of skill acquisition relevant to interaction with computer systems. We then present our focus, which is a review of the state of the art in user interfaces that promote expertise development. The review of interface research is based around four domains of performance improvement: intramodal improvement that occurs as a factor of repetition and practice with a single method of interaction; intermodal improvement that occurs when users switch from one method to another that has a higher performance ceiling; vocabulary extension, in which the user broadens his or her knowledge of the range of functions available; and task mapping, which examines the ways in which users perform their tasks. The review emphasizes the relationship between interface techniques and the human factors that explain their relative success.

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Section: Guidancementioning

confidence: 99%

Supporting Novice to Expert Transitions in User Interfaces

et al. 2014

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“…The experiment was conducted five times. The data was recorded when the (11) can be written as (13). Fig.…”

Section: ) Calibration Results By Constant Velocity Experimentmentioning

confidence: 99%

“…The amplitude of cutting vibration can be represented effectively through a dB scale using the feed velocity and CT value as parameters. The dB scale relationship can be expressed as a linear expression in the logarithmic domain as (11).…”

Section: B Calibration Of Cutting Vibrationmentioning

confidence: 99%

“…Jun Wu et al implied half-silvered mirror and phantom desktop to realize dental training system [10]. Phattanapon Rhienmora et al and Laehyun Kim et al also use visual, auditory, and haptic display system such as phantom omni or phantom premium to make a dental workbench [11] [12]. However the continuous force performance is not so high in these conventional methods.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and experimentation of drilling vibration for implant cutting force presenting system

Iwata

Ohnishi

et al. 2014

2014 IEEE 13th International Workshop on Advanced Motion Control (AMC)

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Since uncontrolled force can cause drill-bit breakage, excessive heat generation, and bone damage, prediction of the drilling force is important parts to increase success rate of implant operations. This paper presents a vibration model for prediction of the drilling vibration. The force from the drill is modeled by considering variation in force caused by CT value and feed velocity change. This method can be applied for a cutting force presentation method using haptic drilling system. This system allows dental students to learn procedures such as cutting the jaw bone. It can also be used for prior confirmation before implant surgery because doctor can experience the force response. The advantages of this system are the high force output quality and fine position sensing quality. The validity of the proposed method was confirmed through experiments using pine wood mentioned in Misch's bone density classification.

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“…Wu et al applied a half-silvered mirror and a Phantom Desktop device in their realization of a dental-training system (18) . Kim et al and Rhienmora et al also used visual, auditory, and haptic display systems such as Phantom Premium or Phantom Omni to construct dental workbenches (19) (20) . However, the continuous force performance of these conventional methods is relatively low (1.75 N for Phantom Desktop, 0.88 N for Phantom Omni, and 1.4 N for Phantom Premium).…”

Section: Introductionmentioning

confidence: 99%

Frequency-Based Analysis of the Relationship between Cutting Force and CT Number for an Implant-Surgery-Teaching Robot

Matsunaga

Kawana

et al. 2017

IEEJ Journal IA

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An individual's feeling of bone quality during a drilling procedure is important for predicting the prognosis of a dental implant. At present, the estimation of an individual's feeling is subjective, and a new, definitive, data-based classification scheme is needed to identify bone quality objectively. A tele-robotic drilling system was developed to solve this problem. This paper presents a model for predicting vibration during bone drilling. The forces from the drill are modeled by considering the indentation process that occurs under different form computed tomography (CT) numbers. This method can be applied to a cutting-force presentation method using a haptic drilling system. An experiment was conducted to confirm the validity of the proposed method. The result shows that the experimental simulation achieved the same force response as the real cutting. The mean of the error between the real cutting force and the predicted cutting force was 3.5%. The system allows dental students to learn and practice procedures such as cutting the jaw bone. The advantages of this system are that it has a high force-output quality and a fine position-sensing ability. Therefore, dental students can simulate a realistic force response from the bone if the CT number has been acquired. This system can also be used for real implantation surgery because it allows doctors to experience the force response before operating.

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Haptic augmented reality dental trainer with automatic performance assessment

Cited by 15 publications

References 3 publications

Supporting Novice to Expert Transitions in User Interfaces

Supporting Novice to Expert Transitions in User Interfaces

Modeling and experimentation of drilling vibration for implant cutting force presenting system

Frequency-Based Analysis of the Relationship between Cutting Force and CT Number for an Implant-Surgery-Teaching Robot

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