Fingertip Force Displaying Device Using Pneumatic Negative Pressure

Takaiwa, Masahiro; Noritsugu, Toshiro; Sasaki, Daisuke; Nogami, Takahiro

doi:10.20965/ijat.2014.p0208

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…The researchers tried to create a haptic illusion with fingers on the virtual wall while the force, motion and pressure sensor provided command signals for the valve to produce the negative pressure required. These studies could establish a better applications for finger rehabilitation [77]. 3 Pressure sensor: Because pressure can be used to measure other variables (piezoresistance, capacitance, etc.,) indirectly, this type of sensor is widely used in many domains, ranging from refrigeration to robotics and medical devices.…”

Section: Electroencephalogram (Eeg) Electromyogram (Emg)mentioning

confidence: 99%

Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications

et al. 2023

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Dexterity training helps improve our motor skills while engaging in precision tasks such as surgery in the medical field and playing musical instruments. In addition, post-stroke recovery also requires extensive dexterity training to recover the original motor skills associated with the affected portion of the body. Recent years have seen a rise in the usage of soft-type actuators to perform such training, giving higher levels of comfort, compliance, portability, and adaptability. Their capabilities of performing high dexterity and safety enhancement make them specific biomedical applications and serve as a sensitive tools for physical interaction. The scope of this article discusses the soft actuator types, characterization, sensing, and control based on the interaction modes and the 5 most relevant articles that touch upon the skill improvement models and interfacing nature of the task and the precision it demands. This review attempts to report the latest developments that prioritize soft materials over hard interfaces for dexterity training and prospects of end-user satisfaction.

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Section: Electroencephalogram (Eeg) Electromyogram (Emg)mentioning

confidence: 99%

Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications

et al. 2023

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Study of an Underactuated Mechanical Finger Driven by Tendons

Niola¹,

Rossi²,

Savino³

et al. 2017

Int. J. Automation Technol.

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This paper presents an investigation on the influence of the design parameters in an underactuated mechanical finger driven by un-extendable tendons. The study was carried out using simulations and experimental tests. The aim of the study is to analyze the behavior of the finger during its closing motion. Hence, this study can help in correctly designing fingers for underactuated grasping devices. Various design aspects and parameters were taken into account to optimize the dynamic behavior of the mechanism in the simulation. The actions of the tendons were modelled with the forces that the tendon exerts on the phalanges.

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Fingertip Force Displaying Device Using Pneumatic Negative Pressure

Cited by 2 publications

References 4 publications

Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications

Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications

Study of an Underactuated Mechanical Finger Driven by Tendons

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