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Pregled bibliografske jedinice broj: 636378

Is it Possible to Detect Mobile Phone User’s Attention Based on Accelerometer Measurement of Gait Pattern?


Musić, Josip; Stančić, Ivo; Zanchi, Vlasta
Is it Possible to Detect Mobile Phone User’s Attention Based on Accelerometer Measurement of Gait Pattern? // Proceedings of 18th IEEE Symposium on Computers and Communications (ISCC) 2013 / Douligeris, Christos ; Gotovac, Sven ; Vojnović, Milan ; Elmaghraby, Adel. S. (ur.).
Split: IEEE, 2013. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 636378 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Is it Possible to Detect Mobile Phone User’s Attention Based on Accelerometer Measurement of Gait Pattern?
(Is it Possible to Detect Mobile Phone User’s Attention Based on Accelerometer Measurment of Gait Pattern?)

Autori
Musić, Josip ; Stančić, Ivo ; Zanchi, Vlasta

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 18th IEEE Symposium on Computers and Communications (ISCC) 2013 / Douligeris, Christos ; Gotovac, Sven ; Vojnović, Milan ; Elmaghraby, Adel. S. - Split : IEEE, 2013

ISBN
978-1-4673-2711-4

Skup
18th IEEE Symposium on Computers and Communications (ISCC) 2013

Mjesto i datum
Split, Hrvatska, 07.-19.07.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
human gait; accelerometer; smartphone; phase; attention detection; safety

Sažetak
Mobile phones have become ubiquitous in today’s world. Their ever increasing computational power and sensing capabilities have made them well suited for number of tasks well beyond their original purpose of communication. But mobile phone usage while walking or driving can potentially be dangerous leading to serious injury or even death. In the paper we answer the question is it possible using only mobile phone’s embedded accelerometer to detect changes in gait pattern caused by changed attention level due to interaction with mobile device like reading on screen text. Experimental measurements were conducted on 8 test subjects in indoor environment with each test subject performing 6 trials. Two different approaches based on gait phase and gait velocity were tested on recorded data in batch mode with more promising one implemented in real time manner. Obtained results are presented and discussed and possible future research directions outlined.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekti:
023-0232006-1655 - Biomehanika ljudskih pokreta, upravljanje i rehabilitacija (Zanchi, Vlasta, MZOS ) ( POIROT)

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Josip Musić (autor)

Avatar Url Ivo Stančić (autor)

Avatar Url Vlasta Zanchi (autor)


Citiraj ovu publikaciju

Musić, Josip; Stančić, Ivo; Zanchi, Vlasta
Is it Possible to Detect Mobile Phone User’s Attention Based on Accelerometer Measurement of Gait Pattern? // Proceedings of 18th IEEE Symposium on Computers and Communications (ISCC) 2013 / Douligeris, Christos ; Gotovac, Sven ; Vojnović, Milan ; Elmaghraby, Adel. S. (ur.).
Split: IEEE, 2013. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Musić, J., Stančić, I. & Zanchi, V. (2013) Is it Possible to Detect Mobile Phone User’s Attention Based on Accelerometer Measurement of Gait Pattern?. U: Douligeris, C., Gotovac, S., Vojnović, M. & Elmaghraby, A. (ur.)Proceedings of 18th IEEE Symposium on Computers and Communications (ISCC) 2013.
@article{article, year = {2013}, keywords = {human gait, accelerometer, smartphone, phase, attention detection, safety}, isbn = {978-1-4673-2711-4}, title = {Is it Possible to Detect Mobile Phone User’s Attention Based on Accelerometer Measurement of Gait Pattern?}, keyword = {human gait, accelerometer, smartphone, phase, attention detection, safety}, publisher = {IEEE}, publisherplace = {Split, Hrvatska} }
@article{article, year = {2013}, keywords = {human gait, accelerometer, smartphone, phase, attention detection, safety}, isbn = {978-1-4673-2711-4}, title = {Is it Possible to Detect Mobile Phone User’s Attention Based on Accelerometer Measurment of Gait Pattern?}, keyword = {human gait, accelerometer, smartphone, phase, attention detection, safety}, publisher = {IEEE}, publisherplace = {Split, Hrvatska} }




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