FlyHaptics: Flying Multi-contact Haptic Interface
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arXiv
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| Format: | Preprint |
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2025
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| author | Moreno, Luis Cabrera, Miguel Altamirano Khan, Muhammad Haris Tokmurziyev, Issatay Mahmoud, Yara Serpiva, Valerii Tsetserukou, Dzmitry |
| author_facet | Moreno, Luis Cabrera, Miguel Altamirano Khan, Muhammad Haris Tokmurziyev, Issatay Mahmoud, Yara Serpiva, Valerii Tsetserukou, Dzmitry |
| contents | This work presents FlyHaptics, an aerial haptic interface tracked via a Vicon optical motion capture system and built around six five-bar linkage assemblies enclosed in a lightweight protective cage. We predefined five static tactile patterns - each characterized by distinct combinations of linkage contact points and vibration intensities - and evaluated them in a grounded pilot study, where participants achieved 86.5 recognition accuracy (F(4, 35) = 1.47, p = 0.23) with no significant differences between patterns. Complementary flight demonstrations confirmed stable hover performance and consistent force output under realistic operating conditions. These pilot results validate the feasibility of drone-mounted, multi-contact haptic feedback and lay the groundwork for future integration into fully immersive VR, teleoperation, and remote interaction scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_02582 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | FlyHaptics: Flying Multi-contact Haptic Interface Moreno, Luis Cabrera, Miguel Altamirano Khan, Muhammad Haris Tokmurziyev, Issatay Mahmoud, Yara Serpiva, Valerii Tsetserukou, Dzmitry Human-Computer Interaction This work presents FlyHaptics, an aerial haptic interface tracked via a Vicon optical motion capture system and built around six five-bar linkage assemblies enclosed in a lightweight protective cage. We predefined five static tactile patterns - each characterized by distinct combinations of linkage contact points and vibration intensities - and evaluated them in a grounded pilot study, where participants achieved 86.5 recognition accuracy (F(4, 35) = 1.47, p = 0.23) with no significant differences between patterns. Complementary flight demonstrations confirmed stable hover performance and consistent force output under realistic operating conditions. These pilot results validate the feasibility of drone-mounted, multi-contact haptic feedback and lay the groundwork for future integration into fully immersive VR, teleoperation, and remote interaction scenarios. |
| title | FlyHaptics: Flying Multi-contact Haptic Interface |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2505.02582 |