This paper is in the following e-collection/theme issue:

Emerging Technologies for Rehabilitation (241)

Published on in Vol 4, No 1 (2017): Jan-Jun

Counting Grasping Action Using Force Myography: An Exploratory Study With Healthy Individuals

Counting Grasping Action Using Force Myography: An Exploratory Study With Healthy Individuals

Counting Grasping Action Using Force Myography: An Exploratory Study With Healthy Individuals

Authors of this article:

Zhen Gang Xiao1 Author Orcid Image ;   Carlo Menon2 Author Orcid Image
Article Authors Cited by (19) Tweetations (4) Metrics

Journals

  1. Hardani D, Megapiengga D, Tamam M. Identification of earthquake types based on seismogram data. IOP Conference Series: Materials Science and Engineering 2020;821(1):012024 View
  2. Sadeghi Chegani R, Menon C. Regressing grasping using force myography: an exploratory study. BioMedical Engineering OnLine 2018;17(1) View
  3. Islam M, Bai S. Payload estimation using forcemyography sensors for control of upper-body exoskeleton in load carrying assistance. Modeling, Identification and Control: A Norwegian Research Bulletin 2019;40(4):189 View
  4. Xiao Z, Menon C. An Investigation on the Sampling Frequency of the Upper-Limb Force Myographic Signals. Sensors 2019;19(11):2432 View
  5. Xiao Z, Menon C, Jin Z. Towards the investigation on the effect of the forearm rotation on the wrist FMG signal pattern using a high-density FMG sensing matrix. Cogent Engineering 2020;7(1):1795051 View
  6. Xiao Z, Menon C. Does force myography recorded at the wrist correlate to resistance load levels during bicep curls?. Journal of Biomechanics 2019;83:310 View
  7. Stefanou T, Chance G, Assaf T, Dogramadzi S. Tactile Signatures and Hand Motion Intent Recognition for Wearable Assistive Devices. Frontiers in Robotics and AI 2019;6 View
  8. Ahmadizadeh C, Menon C. Investigation of Regression Methods for Reduction of Errors Caused by Bending of FSR-Based Pressure Sensing Systems Used for Prosthetic Applications. Sensors 2019;19(24):5519 View
  9. Xiao Z, Menon C. A Review of Force Myography Research and Development. Sensors 2019;19(20):4557 View
  10. Ahmadizadeh C, Pousett B, Menon C. Investigation of Channel Selection for Gesture Classification for Prosthesis Control Using Force Myography: A Case Study. Frontiers in Bioengineering and Biotechnology 2019;7 View
  11. Delva M, Lajoie K, Khoshnam M, Menon C. Wrist-worn wearables based on force myography: on the significance of user anthropometry. BioMedical Engineering OnLine 2020;19(1) View
  12. Weeks-Levy C, Sadarangani G, Menon C, Jin Z. Perceptions of senior citizens on the use and desired features of a wristband for maintaining, strengthening, and regaining hand and finger function. Cogent Engineering 2020;7(1):1719572 View
  13. Godiyal A, Mondal M, Joshi S, Joshi D. Force Myography Based Novel Strategy for Locomotion Classification. IEEE Transactions on Human-Machine Systems 2018;48(6):648 View
  14. Cofer S, Chen T, Yang J, Follmer S. Detecting Touch and Grasp Gestures Using a Wrist-Worn Optical and Inertial Sensing Network. IEEE Robotics and Automation Letters 2022;7(4):10842 View
  15. Gantenbein J, Ahmadizadeh C, Heeb O, Lambercy O, Menon C. Feasibility of force myography for the direct control of an assistive robotic hand orthosis in non-impaired individuals. Journal of NeuroEngineering and Rehabilitation 2023;20(1) View
  16. Rehman M, Shah K, Haq I, Iqbal S, Ismail M. A Wearable Force Myography-Based Armband for Recognition of Upper Limb Gestures. Sensors 2023;23(23):9357 View
  17. Sherif O, Bassuoni M, Mehrez O. A survey on the state of the art of force myography technique (FMG): analysis and assessment. Medical & Biological Engineering & Computing 2024;62(5):1313 View

Books/Policy Documents

  1. Victorino M, Jiang X, Menon C. Wearable Technology in Medicine and Health Care. View
  2. Vonsevych K. Advanced System Development Technologies I. View