Defining Groupings and Classification of Human Gait Using Correlation of Ground Reaction Force Measurements

Author(s):  
Ellis Kessler ◽  
Pablo A. Tarazaga ◽  
Robin Queen
Author(s):  
Shaoli Wu ◽  
Philip A. Voglewede

This paper develops an improvement to an existing forward dynamic human gait model. A human gait model was developed previously to assist virtual testing prostheses and orthoses. The model consists of a plant model and a controller model. The central tenet to the model is the model predictive control (MPC) algorithm, which is a highly robust controller. In the previous model, however, there are several drawbacks. First, the anthropometric and mechanical parameters in the parts of the model are specific to one person. Second, the simulation result of ground reaction force (GRF) is not realistic. In this paper, the anthropometric parameters are calculated based on commonly used models that approximate an average person’s size. As for the mechanical parameters, the spring and damper coefficients in the human joints and ground reaction force (GRF) system are estimated by using the parameter estimation module in MATLAB based on the experimental subject data. The paper concludes with a simulation results between the new improved model and the previous developed model.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Fabian Horst ◽  
Djordje Slijepcevic ◽  
Marvin Simak ◽  
Wolfgang I. Schöllhorn

AbstractThe Gutenberg Gait Database comprises data of 350 healthy individuals recorded in our laboratory over the past seven years. The database contains ground reaction force (GRF) and center of pressure (COP) data of two consecutive steps measured - by two force plates embedded in the ground - during level overground walking at self-selected walking speed. The database includes participants of varying ages, from 11 to 64 years. For each participant, up to eight gait analysis sessions were recorded, with each session comprising at least eight gait trials. The database provides unprocessed (raw) and processed (ready-to-use) data, including three-dimensional GRF and two-dimensional COP signals during the stance phase. These data records offer new possibilities for future studies on human gait, e.g., the application as a reference set for the analysis of pathological gait patterns, or for automatic classification using machine learning. In the future, the database will be expanded continuously to obtain an even larger and well-balanced database with respect to age, sex, and other gait-specific factors.


1997 ◽  
Vol 18 (12) ◽  
pp. 809-817 ◽  
Author(s):  
Jonathan E. Shaw ◽  
Wei-Li Hsi ◽  
Jan S. Ulbrecht ◽  
Arleen Norkitis ◽  
Mary B. Becker ◽  
...  

Although the total contact cast (TCC) has been shown to be an extremely effective treatment for the healing of plantar ulcers in diabetic patients, little is known about the biomechanics of its action. In this study, plantar pressure and ground reaction force measurements were obtained from over 750 foot contacts as five subjects with known elevated plantar forefoot pressures walked barefoot, in a padded cast shoe, and a TCC. Peak plantar pressures in the forefoot were markedly reduced in the cast compared with both barefoot and shoe walking (reductions of 75% and 86% respectively, P < 0.05). Peak plantar pressures in the heel were not, however, significantly different between the shoe and the TCC, and the longer duration of heel loading resulted in an impulse that was more than twice as great in the cast compared with the shoe ( P < 0.05). An analysis of load distribution indicated that the mechanisms by which the TCC achieves forefoot unloading are (1) transfer of approximately 30% of the load from the leg directly to the cast wall, (2) greater proportionate load sharing by the heel, and (3) removal of a load-bearing surface from the metatarsal heads because of the “cavity” created by the soft foam covering the forefoot. These results point out some of the “essential design features” of the TCC (which are different from what had been previously supposed), support the use of the TCC for healing plantar ulcers in the forefoot, but raise questions about its utility in the healing of plantar ulcers on the heel.


Author(s):  
Thomas E. Kozlovich ◽  
Stephen C. Jones ◽  
Nina R. Kieves

Abstract OBJECTIVE To determine whether use of a protective cover would affect temporospatial gait or ground reaction force (GRF) measurements obtained from dogs walking on a validated pressure-sensitive walkway (PSW). ANIMALS 5 healthy dogs. PROCEDURES In a crossover study design, all dogs were walked across a calibrated PSW with and without a protective cover in place in random order. Temporospatial gait data and GRFs obtained with and without the cover in place were compared. RESULTS No significant differences were identified in temporospatial gait measurements obtained with versus without the cover in place. The bias was low for all variables, and the 95% limits of agreement included 0. In contrast, significant differences were found between measurements obtained with versus without the cover in place for most GRFs, with measurements obtained with the cover in place significantly lower than those obtained without a cover. CLINICAL RELEVANCE Results suggested that for dogs walking over a PSW, GRFs, but not temporospatial gait variables, would be significantly lower if a protective cover was placed over the walkway, compared with values obtained without a cover in place.


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