Published October 9, 2019
| Version V1
Dataset
Open
Dataset used in our IEEE IUS2019 Publication - Artificial Neural Networks for Impact Position Detection in Haptic Surfaces
Authors/Creators
- 1. École polytechnique fédérale de Lausanne ‐ EPFL
- 2. Veridas
Description
Data used for our Publication:
Title: Artificial Neural Networks for Impact Position Detection in Haptic Surfaces
DOI: 10.1109/ULTSYM.2019.8925548
Conference: 2019 IEEE International Ultrasonics Symposium (IUS)
Files
ALL_RESULTS_Data_set_AluBar_1Piezo_Try10.csv
Files
(5.3 GB)
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md5:f72eb14dbabb23c7abbd57395d66eb66
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546.8 MB | Download |
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md5:9fd609822ed759d30667115e8c6761af
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531.7 MB | Download |
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md5:12c8a71fe6d54c420482247fab05ffba
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531.7 MB | Download |
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md5:a6e8c15b718dbe0baec4006dfeb359cb
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547.0 MB | Download |
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md5:59baacd89c59bc7c9dc7d6d4f5fc38e3
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547.0 MB | Download |
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md5:f739e6f1519607b7aa39e2c78a0e04c3
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320.0 MB | Preview Download |
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md5:8fe7c17a140edf013be92e77cf746675
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311.1 MB | Preview Download |
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md5:aff4258694f2fc8545d8df76e63b6b75
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311.1 MB | Preview Download |
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md5:f307c1ce37dc06fc859c14bcc5264813
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320.0 MB | Preview Download |
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md5:1d65b975295df54fa27306bd47dce6f0
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320.0 MB | Preview Download |
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md5:deb282d860deb46bbe85e9dc14e223fd
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208.5 MB | Preview Download |
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md5:c98f356e51c9ef341ea17c3214a0e090
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203.5 MB | Preview Download |
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md5:19cc3529be9ff7816f788876c36d6378
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204.0 MB | Preview Download |
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md5:c002a88e8b65cb376365a996364b0f84
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209.7 MB | Preview Download |
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md5:c8a48ab3ea8f0adaf3bb06093d0916a8
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208.9 MB | Preview Download |
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md5:eb40474e0ee7ad1d34404c4a2862a068
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185 Bytes | Preview Download |
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md5:0573f6743175ec35bb144ac6911adda5
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186 Bytes | Preview Download |
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md5:0599453bac5c286686614aa0e4072af1
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185 Bytes | Preview Download |
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md5:bcc1f715c57988bfd92dc7ae06fe6f31
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184 Bytes | Preview Download |
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md5:1bc2f377b0553e89e08eaa25d4c4d348
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184 Bytes | Preview Download |
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md5:b0284a32721802cd78c843cce034a28f
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3.3 kB | Download |
Additional details
Related works
- Is derived from
- Conference paper: 10.1109/ICEMS.2019.8922478 (DOI)
- Is supplement to
- Conference paper: 10.1109/ULTSYM.2019.8925548 (DOI)
Funding
- Swiss National Science Foundation
- Haptic technology and evaluation for digital musical interfaces 205120_178972