Wearable Suction Haptic Display with Spatiotemporal Stimulus Distribution on a Finger Pad

Hikaru Nagano, Kazuya Sase, Masashi Konyo, Satoshi Tadokoro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


Stimulus distribution on a finger pad dynamically changes during dynamic interactions such as manipulation or handling of an object. This is caused by the magnitude and direction of the applied force on the finger pad and the elasticity of materials handled. Several past studies proposed wearable tactile systems. However, generation of distributed stimuli on a finger pad (multiple degrees of freedom stimulation) has not yet been achieved. Herein, we propose a rendering system for stimulus distribution on a finger pad. The proposed system consists of a display using multi-channel suction that presents distributed stimuli to a finger pad skin, and a real-time simulator that calculates dynamic pressure distribution on the finger pad when in contact with an elastic object. The developed display has good wearability as lightweight (5 g) and compact because it does not have an actuator on the fingertip in spite of multiple outputs (16 suction ports). We performed two different experiments using the proposed system. These experiments proved that it is possible to present different stimulus distribution depending on the contact posture between a finger and an object (experiment 1) and to present the softness of the virtual material with different elasticity values (experiment 2).

Original languageEnglish
Title of host publication2019 IEEE World Haptics Conference, WHC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538694619
Publication statusPublished - 2019 Jul
Event2019 IEEE World Haptics Conference, WHC 2019 - Tokyo, Japan
Duration: 2019 Jul 92019 Jul 12

Publication series

Name2019 IEEE World Haptics Conference, WHC 2019


Conference2019 IEEE World Haptics Conference, WHC 2019

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Biomedical Engineering
  • Sensory Systems
  • Human Factors and Ergonomics


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