Two-Point Haptic Pattern Recognition with the Inverse Filter Method

Lucie Pantera (1, 2, 3) , Charles Hudin (1, 2, 3) , Sabrina Panëels (1, 2, 3)

1 CEA - Commissariat à l'énergie atomique et aux énergies alternatives
2 LIS - Laboratoire Interfaces Sensorielles
3 Université Paris-Saclay

Touchscreens are widely used nowadays, yet still crucially lack haptic feedback for a rich interaction. Haptic feedback presents several benefits for touch interactions but can be difficult to achieve on a surface, due to issues of vibration propagation. The Inverse Filter Method enables to achieve localised multitouch haptic feedback on a glass surface by controlling the vibrations field over the entire surface. This recent method could enable a wide range of novel interactions. Yet, it has not been tested with users. This paper presents an initial study evaluating 2-point based pattern recognition using IFM with two fingers from each hand and with different timing difference in presentation, varying from 0 ms to 300 ms. The results are promising as participants could discriminate rather well the different patterns with averaged rates of 83% for simultaneous stimuli and up to 92% for stimuli separated by 300 ms.

Keywords: Surface haptics; Localised feedback; Pattern recognition

Domains: Human-Computer Interaction [cs.HC]

Lucie Pantera, Charles Hudin, Sabrina Panëels. Two-Point Haptic Pattern Recognition with the Inverse Filter Method. EuroHaptics 2020, 12272, Springer, pp.545-553, 2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-58147-3_60⟩. ⟨cea-03244534⟩