EnglishThe ability to detect, localize and track the hands is crucial in many applications requiring the understanding of the person behavior, attitude and interactions. In particular, this is true for the automotive context, in which hand analysis allows to predict preparatory movements for maneuvers or to investigate the driver’s attention level. Moreover, due to the recent diffusion of cameras inside new car cockpits, it is feasible to use hand gestures to develop new Human-Car Interaction systems, more user-friendly and safe. In this paper, we propose a new dataset, called Turms, that consists of infrared images of driver’s hands, collected from the back of the steering wheel, an innovative point of view. The Leap Motion device has been selected for the recordings, thanks to its stereo capabilities and the wide view-angle. Besides, we introduce a method to detect the presence and the location of driver’s hands on the steering wheel, during driving activity tasks.
Hands on the wheel: a Dataset for Driver Hand Detection and Tracking / Borghi, Guido; Frigieri, Elia; Vezzani, Roberto; Cucchiara, Rita. - (2018), pp. 564-570. ((Intervento presentato al convegno 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018 tenutosi a Xi'An nel 15 May 2018 [10.1109/FG.2018.00090].
| Data di pubblicazione: | 2018 | |
| Titolo: | Hands on the wheel: a Dataset for Driver Hand Detection and Tracking | |
| Autore/i: | Borghi, Guido; Frigieri, Elia; Vezzani, Roberto; Cucchiara, Rita | |
| Autore/i UNIMORE: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/FG.2018.00090 | |
| Codice identificativo Scopus: | 2-s2.0-85049404938 | |
| Codice identificativo ISI: | WOS:000454996700080 | |
| Nome del convegno: | 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018 | |
| Luogo del convegno: | Xi'An | |
| Data del convegno: | 15 May 2018 | |
| Pagina iniziale: | 564 | |
| Pagina finale: | 570 | |
| Citazione: | Hands on the wheel: a Dataset for Driver Hand Detection and Tracking / Borghi, Guido; Frigieri, Elia; Vezzani, Roberto; Cucchiara, Rita. - (2018), pp. 564-570. ((Intervento presentato al convegno 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018 tenutosi a Xi'An nel 15 May 2018 [10.1109/FG.2018.00090]. | |
| Tipologia | Relazione in Atti di Convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | |
|---|---|---|---|
| hbu-2018-hands camera.pdf | Versione dell'editore (versione pubblicata) | Open Access Visualizza/Apri |
Pubblicazioni consigliate
http://hdl.handle.net/11380/1156033
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris
Copyright © 2022