High-Accuracy Finger Force Distribution Measurement System with Precision Calibration Function

The dexterity of fingers is known to indicate a human health condition; thus, a finger force distribution measurement device measuring finger dexterity, essentially, the force, posture, and movement speed of each finger when holding an object in a vertical position, is essential. In this paper, a finger force distribution measurement system was developed with a load cell built into the thumb sensing part, and with a force sensor calibration function solving the sensor responsiveness issue, toward improving the measurement accuracy. Experiments were performed to verify the effectiveness of the device in measuring the finger force distribution with high accuracy.

[1]  Marco Sandri,et al.  Signaling in muscle atrophy and hypertrophy. , 2008, Physiology.

[2]  Thomas J. Armstrong,et al.  Investigation of Grip Force, Normal Force, Contact Area, Hand Size, and Handle Size for Cylindrical Handles , 2008, Hum. Factors.

[3]  Jing Z. Liu,et al.  Skilled finger movement exercise improves hand function. , 2001, The journals of gerontology. Series A, Biological sciences and medical sciences.

[4]  Clark R Dickerson,et al.  Evaluation of a portable markerless finger position capture device: accuracy of the Leap Motion controller in healthy adults , 2015, Physiological measurement.

[5]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.

[6]  R. Johansson,et al.  Signals in tactile afferents from the fingers eliciting adaptive motor responses during precision grip , 2004, Experimental Brain Research.

[7]  D. Cadman,et al.  THE GROSS MOTOR FUNCTION MEASURE: A MEANS TO EVALUATE THE EFFECTS OF PHYSICAL THERAPY , 1989, Developmental medicine and child neurology.

[8]  Fabrizio Ricci,et al.  Orthostatic Hypotension: Epidemiology, Prognosis, and Treatment. , 2015, Journal of the American College of Cardiology.

[9]  A. Gordon,et al.  Coordination of Prehensile Forces during Precision Grip in Huntington's Disease , 2000, Experimental Neurology.

[10]  G. Firestein Evolving concepts of rheumatoid arthritis , 2003, Nature.

[11]  Derek M. Peters,et al.  Age and Grip Strength Predict Hand Dexterity in Adults , 2015, PloS one.

[12]  M. Taylor,et al.  Hand grip dynamometry as a predictor of postoperative complications reappraisal using age standardized grip strengths. , 1989, JPEN. Journal of parenteral and enteral nutrition.

[13]  R. S. Johansson,et al.  Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects , 2004, Experimental Brain Research.

[14]  Lisa D Hobson-Webb,et al.  Carpal tunnel syndrome: clinical features, diagnosis, and management , 2016, The Lancet Neurology.

[15]  Blake Hannaford,et al.  Performance evaluation of a six-axis generalized force-reflecting teleoperator , 1991, IEEE Trans. Syst. Man Cybern..

[16]  Guy Trudel,et al.  Joint contractures in the intensive care unit: quality of life and function 3.3 years after hospital discharge , 2015, Disability and rehabilitation.

[17]  R. Johansson,et al.  Factors influencing the force control during precision grip , 2004, Experimental Brain Research.

[18]  Jean-Yves Hogrel,et al.  Grip strength measured by high precision dynamometry in healthy subjects from 5 to 80 years , 2015, BMC Musculoskeletal Disorders.

[19]  Hironobu Sashika,et al.  Association of Nutrition Status and Rehabilitation Outcome in the Disuse Syndrome : a Retrospective Cohort Study , 2011 .