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

Mohammad Reza Naeemabadi, Birthe Dinesen, Samira Najafi, Mikkel Thøgersen, John Hansen. 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 8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018, Berlin, Germany, September 2-5, 2018. pages 1-6, IEEE, 2018. [doi]

@inproceedings{NaeemabadiDNTH18,
  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 = {Mohammad Reza Naeemabadi and Birthe Dinesen and Samira Najafi and Mikkel Thøgersen and John Hansen},
  year = {2018},
  doi = {10.1109/ICCE-Berlin.2018.8576239},
  url = {https://doi.org/10.1109/ICCE-Berlin.2018.8576239},
  researchr = {https://researchr.org/publication/NaeemabadiDNTH18},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018, Berlin, Germany, September 2-5, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-6095-9},
}