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M. Di Luca

4 papers hereh-index 10588 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.HC1
  • eess.AS1
same name
  • M. Di Luca — 3 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedPerceived Intensities of Normal and Shear Skin Stimuli using a Wearable Haptic Bracelet

37 citations · 39 across the 4 of their papers we have counts for

collaborators

4 papers

cs.HC2024★ 1 cited

Hovering Over the Key to Text Input in XR

Mar Gonzalez-Franco, Diar Abdlkarim, Arpit Bhatia +6

Virtual, Mixed, and Augmented Reality (XR) technologies hold immense potential for transforming productivity beyond PC. Therefore there is a critical need for improved text input s…

eess.AS2022

Annotation of Soft Onsets in String Ensemble Recordings

Maciej Tomczak, Min Susan Li, Adrian Bradbury +8

Onset detection is the process of identifying the start points of musical note events within an audio recording. While the detection of percussive onsets is often considered a solv…

cs.RO2022★ 1 cited

Perception of Mechanical Properties via Wrist Haptics: Effects of Feedback Congruence

Mine Sarac, Massimiliano di Luca, Allison M. Okamura

Despite non-co-location, haptic stimulation at the wrist can potentially provide feedback regarding interactions at the fingertips without encumbering the user's hand. Here we inve…

cs.RO2019★ 37 cited

Perceived Intensities of Normal and Shear Skin Stimuli using a Wearable Haptic Bracelet

Mine Sarac, Tae Myung Huh, Hojung Choi +3

Our aim is to provide effective interaction with virtual objects, despite the lack of co-location of virtual and real-world contacts, while taking advantage of relatively large ski…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.