SwePub
Sök i LIBRIS databas

  Extended search

AMNE:(ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing)
 

Search: AMNE:(ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing) > (2005-2009) > Vibrotactile identi...

  • Ranjbar, Parivash,1968-Örebro universitet,Akademin för naturvetenskap och teknik,elektronik (author)

Vibrotactile identification of signal-processed sounds from environmental events presented by a portable vibrator : a laboratory study

  • BookEnglish2009

Publisher, publication year, extent ...

  • 2009
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:oru-8129
  • https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-8129URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:vet swepub-contenttype
  • Subject category:ovr swepub-publicationtype

Notes

  • Objective: To evaluate different signal-processing algorithms for tactile identification of environmental sounds in a monitoring aid for the deafblind. Subjects: Two men and three women, sensorineurally deaf or profoundly hearing impaired with experience of vibratory experiments, age 22-36 years. Method: A closed set of 45 representative environmental sounds were processed using two transposing (TRHA, TR1/3) and three modulating algorithms (AM, AMFM, AMMC) and presented as tactile stimuli using a portable vibrator in three experiments. The algorithms TRHA, TR1/3, AMFM and AMMC had two alternatives (with and without adaption to vibratory thresholds). In Exp. 1, the sounds were preprocessed and directly fed to the vibrator. In Exp. 2 and 3, the sounds were presented in an acoustic test room, without or with background noise (SNR=+5 dB), and processed in real time. Results: In Exp. 1, Algorithm AMFM and AMFM(A) consistently had the lowest identification scores, and were thus excluded in Exp. 2 and 3. TRHA, AM, AMMC, and AMMC(A) showed comparable identification scores (30%-42%) and the addition of noise did not deteriorate the performance. Conclusion: Algorithm TRHA, AM, AMMC, and AMMC(A) showed good performance in all three experiments and were robust in noise; they can therefore be used in further testing in real environments.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Örebro universitetAkademin för naturvetenskap och teknik (creator_code:org_t)

Internet link

To the university's database

Find more in SwePub

By the author/editor
Ranjbar, Parivas ...
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
and Signal Processin ...
NATURAL SCIENCES
NATURAL SCIENCES
and Computer and Inf ...
By the university
Örebro University

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view