Support vector machine for classification of walking conditions using miniature kinematic sensors

HY Lau, KY Tong, H Zhu - Medical & biological engineering & computing, 2008 - Springer
A portable gait analysis and activity-monitoring system for the evaluation of activities of daily
life could facilitate clinical and research studies. This current study developed a small sensor …

Classification of Parkinson gait and normal gait using spatial-temporal image of plantar pressure

HS Jeon, J Han, WJ Yi, BS Jeon… - 2008 30th annual …, 2008 - ieeexplore.ieee.org
The purpose of this paper is the classification of Spatial-Temporal Image of Plantar pressure
(STIP) among normal step and the patients step of Parkinson disease. For this, we created a …

Detection of tripping gait patterns in the elderly using autoregressive features and support vector machines

DTH Lai, RK Begg, S Taylor, M Palaniswami - Journal of biomechanics, 2008 - Elsevier
Elderly tripping falls cost billions annually in medical funds and result in high mortality rates
often perpetrated by pulmonary embolism (internal bleeding) and infected fractures that do …

PCA-based SVM for automatic recognition of gait patterns

J Wu, J Wang - Journal of applied biomechanics, 2008 - journals.humankinetics.com
In this technical note, we investigate a combination PCA with SVM to classify gait pattern
based on kinetic data. The gait data of 30 young and 30 elderly participants were recorded …

Prediction of fingers posture using artificial neural networks

N Rezzoug, P Gorce - Journal of biomechanics, 2008 - Elsevier
Predicting the hand and fingers posture during grasping tasks is an important issue in the
frame of biomechanics. In this paper, a technique based on neural networks is proposed to …

Grasping force estimation detecting slip by tactile sensor adopting machine learning techniques

AM Mazid, ABMS Ali - TENCON 2008-2008 IEEE Region 10 …, 2008 - ieeexplore.ieee.org
Adequate grasping force estimation and slip detection is a vital problem in wider
applications of robots and manipulators in industries as well as in our everyday life. In this …

Kernel-Based feature extraction for automated gait classification using kinetics data

J Wu - 2008 Fourth International Conference on Natural …, 2008 - ieeexplore.ieee.org
The analyzing quantitative kinetics gait data is very important in medical diagnostics as well
as in early identification of gait asymmetry. The paper investigated the application of kernel …

A neurofuzzy inference system based on biomechanical features for the evaluation of the effects of physical training

G Vannozzi, F Pecoraro, P Caserotti… - Computer methods in …, 2008 - Taylor & Francis
The current study aimed to evaluate physical training effects. For this purpose, a classifier
was implemented by taking into account biomechanical features selected from force-plate …

Principal component analysis for motor skills characterization and individual monitoring in sports science

G Donà - 2008 - research.unipd.it
Sports biomechanics is the science that applies the laws of mechanics and physics to
athlete performance, in order to gain a greater understanding of motor skills through …

[PDF][PDF] Identification of Ankle Sprain Motion from Normal Activities by Dorsal Foot Kinematics Data

YY Chan - 2008 - core.ac.uk
Ankle sprain is one of the most common single types of sports injuries. Ankle sprain not only
causes chronic ankle instability, but also affect the performance of athletics in their sports. It …