Tomosuke Maeda

Orcid: 0000-0003-1238-4593

According to our database1, Tomosuke Maeda authored at least 13 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Roaming Navigation: Diverse Constrained Paths Using Heuristic Search.
IEEE Access, 2023

Waylet: Self-Contained Haptic Device for Park-Scale Interactions.
Proceedings of the SIGGRAPH Asia 2023 Emerging Technologies, 2023

Roaming Navigation for Pedestrians (Demo Paper).
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022
Fingeret: A Wearable Fingerpad-Free Haptic Device for Mixed Reality.
Proceedings of the Symposium on Spatial User Interaction, 2022

2020
HaptoMapping: Visuo-Haptic AR System usingProjection-based Control of Wearable Haptic Devices.
Proceedings of the SIGGRAPH Asia 2020 Emerging Technologies, 2020

Visuo-Haptic Display by Embedding Imperceptible Spatial Haptic Information into Projected Images.
Proceedings of the Haptics: Science, Technology, Applications, 2020

2019
Haptiple: A Wearable, Modular and Multiple Haptic Feedback System for Embodied Interaction.
Proceedings of the SIGGRAPH Asia 2019 Emerging Technologies, 2019

TherModule: Wearable and Modular Thermal Feedback System based on a Wireless Platform.
Proceedings of the 10th Augmented Human International Conference 2019, 2019

2017
HapticAid: Haptic Experiences System Using Mobile Platform.
Proceedings of the Tenth International Conference on Tangible, 2017

2016
Wearable haptic augmentation system using skin vibration sensor.
Proceedings of the 2016 Virtual Reality International Conference, 2016

HapticAid: wearable haptic augmentation system for enhanced, enchanted and empathised haptic experiences.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Emerging Technologies, 2016

Mobile HapticAid: Wearable Haptic Augmentation System Using a Mobile Platform.
Proceedings of the Haptic Interaction, 2016

2015
Reliable background prediction using approximated GMM.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015


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