Feasibility of employing AHRS algorithms in the real-time estimation of sensor orientation using low-cost and low sampling rate wearable sensors in IoT application

Mohammadreza Naeemabadi; Birthe Irene Dinesen; Samira Najafi; Mikkel Thøgersen; John Hansen

doi:10.1109/ICCE-Berlin.2018.8576239

Feasibility of employing AHRS algorithms in the real-time estimation of sensor orientation using low-cost and low sampling rate wearable sensors in IoT application

Mohammadreza Naeemabadi, Birthe Irene Dinesen, Samira Najafi, Mikkel Thøgersen, John Hansen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Original language	English
Title of host publication	2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)
Number of pages	6
Publisher	IEEE
Publication date	2018
Article number	8576239
ISBN (Print)	978-1-5386-6096-6
ISBN (Electronic)	978-1-5386-6095-9
DOIs	https://doi.org/10.1109/ICCE-Berlin.2018.8576239
Publication status	Published - 2018
Event	IEEE 8th International Conference on Consumer Electronics-Berlin - Berlin, Germany Duration: 2 Sept 2018 → 5 Sept 2018 Conference number: 8

Conference

Conference	IEEE 8th International Conference on Consumer Electronics-Berlin
Number	8
Country/Territory	Germany
City	Berlin
Period	02/09/2018 → 05/09/2018

Access to Document

10.1109/ICCE-Berlin.2018.8576239

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

Naeemabadi, M., Dinesen, B. I., Najafi, S., Thøgersen, M., & Hansen, J. (2018). Feasibility of employing AHRS algorithms in the real-time estimation of sensor orientation using low-cost and low sampling rate wearable sensors in IoT application. In 2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin) Article 8576239 IEEE. https://doi.org/10.1109/ICCE-Berlin.2018.8576239

@inproceedings{903f75f4c94c49858beb918d31c7fc52,

title = "Feasibility of employing AHRS algorithms in the real-time estimation of sensor orientation using low-cost and low sampling rate wearable sensors in IoT application",

author = "Mohammadreza Naeemabadi and Dinesen, {Birthe Irene} and Samira Najafi and Mikkel Th{\o}gersen and John Hansen",

year = "2018",

doi = "10.1109/ICCE-Berlin.2018.8576239",

language = "English",

isbn = "978-1-5386-6096-6",

booktitle = "2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)",

publisher = "IEEE",

address = "United States",

note = "IEEE 8th International Conference on Consumer Electronics-Berlin ; Conference date: 02-09-2018 Through 05-09-2018",

}

Naeemabadi, M, Dinesen, BI, Najafi, S, Thøgersen, M & Hansen, J 2018, Feasibility of employing AHRS algorithms in the real-time estimation of sensor orientation using low-cost and low sampling rate wearable sensors in IoT application. in 2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)., 8576239, IEEE, IEEE 8th International Conference on Consumer Electronics-Berlin , Berlin, Germany, 02/09/2018. https://doi.org/10.1109/ICCE-Berlin.2018.8576239

Feasibility of employing AHRS algorithms in the real-time estimation of sensor orientation using low-cost and low sampling rate wearable sensors in IoT application. / Naeemabadi, Mohammadreza; Dinesen, Birthe Irene; Najafi, Samira et al.
2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin). IEEE, 2018. 8576239.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Feasibility of employing AHRS algorithms in the real-time estimation of sensor orientation using low-cost and low sampling rate wearable sensors in IoT application

AU - Naeemabadi, Mohammadreza

AU - Dinesen, Birthe Irene

AU - Najafi, Samira

AU - Thøgersen, Mikkel

AU - Hansen, John

N1 - Conference code: 8

PY - 2018

Y1 - 2018

U2 - 10.1109/ICCE-Berlin.2018.8576239

DO - 10.1109/ICCE-Berlin.2018.8576239

M3 - Article in proceeding

SN - 978-1-5386-6096-6

BT - 2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)

PB - IEEE

T2 - IEEE 8th International Conference on Consumer Electronics-Berlin

Y2 - 2 September 2018 through 5 September 2018

ER -

Naeemabadi M, Dinesen BI, Najafi S, Thøgersen M, Hansen J. Feasibility of employing AHRS algorithms in the real-time estimation of sensor orientation using low-cost and low sampling rate wearable sensors in IoT application. In 2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin). IEEE. 2018. 8576239 doi: 10.1109/ICCE-Berlin.2018.8576239