title: Developing a portable gait cycle detection system using an inertial sensor and evaluating the accuracy of the gait cycle detection.
abstract: Although researches had analyzed gait using small sensors, they analyzed only normal gaits. Thus, a research that can overcome the spatial limitations of the existing motion analyses and diagnose abnormal gaits for medical treatment is needed. Accordingly, this research developed the portable gait detection system that can detect gait using a gyroscope, and evaluated the accuracy of the system. The results showed an average recognition error rate of 1.7% for the normal and abnormal gaits, and confirmed that the gait cycle was detected with a high degree of accuracy. Using these characteristics, we could distinguish or diagnose, and treat, an abnormal gait.
authors.affiliation: Department of Healthcare Engineering, Chonbuk National University, Korea.
authors.forename: Min-Hwa
authors.initials: MH
authors.lastname: Park
authors.affiliation: Department of Healthcare Engineering, Chonbuk National University, Korea.
authors.forename: Ki-Young
authors.initials: KY
authors.lastname: Kwak
authors.affiliation: Division of Biomedical Engineering, Chonbuk National University, Korea.|Research Center of Healthcare & Welfare Instrument for the Aged, Chonbuk National University, Korea.
authors.forename: Dong-Wook
authors.initials: DW
authors.lastname: Kim
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D053587:Arthrometry, Articular / Q000295:instrumentation*; D001696:Biomechanical Phenomena / Q000502:physiology*; D004867:Equipment Design; D005260:Female; D005684:Gait / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D055815:Young Adult
keywords: Balance; abnormal diagnosis; gait detection; inertial sensor