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

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
  18. Young S, Zhou H, Alici G. Gesture Recognition Framework for Teleoperation of Infrared (IR) Consumer Devices Using a Novel pFMG Soft Armband. Sensors 2024;24(18):6124 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