In this paper we show how to enhance the tracking performance of Arianna, a low-cost augmented reality system designed to meet the needs of people with problems of orientation, people with sight impairment and blind people. For augmented reality system we mean the design of: i) a set of paths and tags to be deployed in the environment, realized in various ways depending on the context (decorative elements easily identifiable, colorful stripes, QR code, RFID, etc.); ii) an instrument of mediation between the reality and the user (typically a smartphone) to access the information disseminated in the environment by means of a camera and provide a vibration feedback signal to the users for following pre-defined paths. In this paper we explore the possibility of applying optical flow techniques to the sequence of images captured by the camera along the paths, to identify the user movements and provide a position estimate. Experimental results show that the approach is promising.

Enhancing tracking performance in a smartphone-based navigation system for visually impaired people / Croce, D.; Giarrè, Laura; La Rosa, F.; Montana, E.; Tinnirello, I.. - (2016), pp. 7535871.1355-7535871.1360. (Intervento presentato al convegno 24th Mediterranean Conference on Control and Automation, MED 2016 tenutosi a Divani Caravel Hotel, grc nel 2016) [10.1109/MED.2016.7535871].

Enhancing tracking performance in a smartphone-based navigation system for visually impaired people

GIARRÈ, Laura;
2016

Abstract

In this paper we show how to enhance the tracking performance of Arianna, a low-cost augmented reality system designed to meet the needs of people with problems of orientation, people with sight impairment and blind people. For augmented reality system we mean the design of: i) a set of paths and tags to be deployed in the environment, realized in various ways depending on the context (decorative elements easily identifiable, colorful stripes, QR code, RFID, etc.); ii) an instrument of mediation between the reality and the user (typically a smartphone) to access the information disseminated in the environment by means of a camera and provide a vibration feedback signal to the users for following pre-defined paths. In this paper we explore the possibility of applying optical flow techniques to the sequence of images captured by the camera along the paths, to identify the user movements and provide a position estimate. Experimental results show that the approach is promising.
2016
24th Mediterranean Conference on Control and Automation, MED 2016
Divani Caravel Hotel, grc
2016
1355
1360
Croce, D.; Giarrè, Laura; La Rosa, F.; Montana, E.; Tinnirello, I.
Enhancing tracking performance in a smartphone-based navigation system for visually impaired people / Croce, D.; Giarrè, Laura; La Rosa, F.; Montana, E.; Tinnirello, I.. - (2016), pp. 7535871.1355-7535871.1360. (Intervento presentato al convegno 24th Mediterranean Conference on Control and Automation, MED 2016 tenutosi a Divani Caravel Hotel, grc nel 2016) [10.1109/MED.2016.7535871].
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
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

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1123551
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 25
  • ???jsp.display-item.citation.isi??? 13
social impact