FMG based upper limb motion detection methods, performance analysis and control of assistive exoskeletons

Original language	English
Supervisors	Bai, Shaoping, Principal supervisor
Publisher	Aalborg Universitetsforlag
Electronic ISBNs	978-87-7210-871-1
DOIs	https://doi.org/10.54337/aau455016322
Publication status	Published - 2021

Bibliographical note

PhD supervisor:
Professor Shaoping Bai, Aalborg University

Access to Document

• 10.54337/aau455016322

• PHD_MRUI_E-pdfFinal published version, 12.5 MB

AUB Link

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Press/Media

• Robot adlyder det mindste vink

  Shaoping Bai, Muhammad Raza Ul Islam & Ole Madsen

  20/05/2019

  1 item of Media coverage

  Press/Media: Press / Media

• Robotten adlyder dit mindste vink

  Shaoping Bai, Muhammad Raza Ul Islam & Ole Madsen

  07/05/2019

  1 item of Media coverage

  Press/Media: Press / Media

Research output

Research output per year 2019 2019 2021 2021

• 1 Book chapter
• 1 Journal article

Research output per year

Research output per year

• A comparative study of motion detection with FMG and sEMG methods for assistive applications

  Islam, M. R. U., Waris, A., Kamavuako, E. N. & Bai, S., 2021, In: Journal of Rehabilitation and Assistive Technologies. 7

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File

  • Comparative Study 100%
  • Motion Detection 100%
  • Electromyography 100%
  • Repeatability 33%
  • Daily Basis 33%
  22 Downloads (Pure)

• Position sensing and control with FMG sensors for exoskeleton physical assistance

  Islam, M. R. U., Xu, K. & Bai, S., 2019, Wearable Robotics: Challenges and Trends: Proceedings of the 4th International Symposium on Wearable Robotics WeRob2018. Carrozza, M. C., Micera, S. & Pons, J. L. (eds.). Springer Publishing Company, p. 3-7 5 p. (Biosystems and Biorobotics, Vol. 22).

  Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

  • Angle Joint 100%
  • Sensor 100%
  • Decoding 33%
  • Gaussians 33%
  • Joints (Structural Components) 33%
  4 Citations (Scopus)

Cite this

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Islam, M. R. U. (2021). FMG based upper limb motion detection methods, performance analysis and control of assistive exoskeletons. Aalborg Universitetsforlag.

Islam, Muhammad Raza Ul. / FMG based upper limb motion detection methods, performance analysis and control of assistive exoskeletons. Aalborg Universitetsforlag, 2021.

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title = "FMG based upper limb motion detection methods, performance analysis and control of assistive exoskeletons",

author = "Islam, {Muhammad Raza Ul}",

note = "PhD supervisor: Professor Shaoping Bai, Aalborg University",

year = "2021",

doi = "10.54337/aau455016322",

language = "English",

series = "Ph.d.-serien for Det Ingeni{\o}r- og Naturvidenskabelige Fakultet, Aalborg Universitet",

publisher = "Aalborg Universitetsforlag",

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Islam, MRU 2021, 'FMG based upper limb motion detection methods, performance analysis and control of assistive exoskeletons'. https://doi.org/10.54337/aau455016322

FMG based upper limb motion detection methods, performance analysis and control of assistive exoskeletons. / Islam, Muhammad Raza Ul.
Aalborg Universitetsforlag, 2021.

Research output: PhD thesis

TY - GEN

T1 - FMG based upper limb motion detection methods, performance analysis and control of assistive exoskeletons

AU - Islam, Muhammad Raza Ul

N1 - PhD supervisor: Professor Shaoping Bai, Aalborg University

PY - 2021

Y1 - 2021

U2 - 10.54337/aau455016322

DO - 10.54337/aau455016322

M3 - PhD thesis

T3 - Ph.d.-serien for Det Ingeniør- og Naturvidenskabelige Fakultet, Aalborg Universitet

PB - Aalborg Universitetsforlag

ER -

Islam MRU. FMG based upper limb motion detection methods, performance analysis and control of assistive exoskeletons. Aalborg Universitetsforlag, 2021. doi: 10.54337/aau455016322