Symbolic Approach to Motion Analysis: Framework and Gait Analysis Case Studies

2013 ◽  
pp. 582-627 ◽  
Keyword(s):  
Gait Analysis ◽  
Case Studies ◽  
Motion Analysis ◽  
Analysis Framework ◽  
Symbolic Approach

scholarly journals The change of gait analysis on applying metatarsal-bar used 3D motion analysis

2014 ◽  
Vol 7 (S1) ◽  
Author(s):  
Se won Yoon ◽  
Jeong woo Lee ◽  
Soo ji Park ◽  
Woong sik Park ◽  
Moon jeong Kim
Keyword(s):  
Gait Analysis ◽  
Motion Analysis ◽  
3D Motion ◽  
3D Motion Analysis

Validation of wearable inertial sensor-based gait analysis system for measurement of spatiotemporal parameters and lower extremity joint kinematics in sagittal plane

2022 ◽  
pp. 095441192110729
Author(s):  
Gunjan Patel ◽  
Rajani Mullerpatan ◽  
Bela Agarwal ◽  
Triveni Shetty ◽  
Rajdeep Ojha ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Motion Analysis ◽  
Motion Capture ◽  
Inertial Sensor ◽  
Joint Kinematics ◽  
Percentage Error ◽  
Motion Capture System ◽  
Spatiotemporal Parameters ◽  
Analysis System ◽  
Motion Capture Systems

Wearable inertial sensor-based motion analysis systems are promising alternatives to standard camera-based motion capture systems for the measurement of gait parameters and joint kinematics. These wearable sensors, unlike camera-based gold standard systems, find usefulness in outdoor natural environment along with confined indoor laboratory-based environment due to miniature size and wireless data transmission. This study reports validation of our developed (i-Sens) wearable motion analysis system against standard motion capture system. Gait analysis was performed at self-selected speed on non-disabled volunteers in indoor ( n = 15) and outdoor ( n = 8) environments. Two i-Sens units were placed at the level of knee and hip along with passive markers (for indoor study only) for simultaneous 3D motion capture using a motion capture system. Mean absolute percentage error (MAPE) was computed for spatiotemporal parameters from the i-Sens system versus the motion capture system as a true reference. Mean and standard deviation of kinematic data for a gait cycle were plotted for both systems against normative data. Joint kinematics data were analyzed to compute the root mean squared error (RMSE) and Pearson’s correlation coefficient. Kinematic plots indicate a high degree of accuracy of the i-Sens system with the reference system. Excellent positive correlation was observed between the two systems in terms of hip and knee joint angles (Indoor: hip 3.98° ± 1.03°, knee 6.48° ± 1.91°, Outdoor: hip 3.94° ± 0.78°, knee 5.82° ± 0.99°) with low RMSE. Reliability characteristics (defined using standard statistical thresholds of MAPE) of stride length, cadence, walking speed in both outdoor and indoor environment were well within the “Good” category. The i-Sens system has emerged as a potentially cost-effective, valid, accurate, and reliable alternative to expensive, standard motion capture systems for gait analysis. Further clinical trials using the i-Sens system are warranted on participants across different age groups.

Human-Agent Team Game Analysis Framework: Case Studies

2021 ◽  
Vol 65 (1) ◽  
pp. 1146-1150
Author(s):  
Nathan Sepich ◽  
Michael C. Dorneich ◽  
Stephen Gilbert
Keyword(s):  
Video Games ◽  
Case Studies ◽  
Analysis Framework ◽  
Systematic Method ◽  
Game Analysis ◽  
Human Agent ◽  
Working Together ◽  
Team Game ◽  
Different Dimensions ◽  
Agent Intelligence

This research details the development of a human-agent team (HAT) analysis framework specifically aimed at video games. The framework identifies different dimensions of interest related to humans and software agents working together. Video games have a variety of user-tested interaction paradigms that may offer useful insights into HAT dynamics, but it can be difficult for researchers to know which games are relevant to their research without a systematic method of characterizing HAT relationships. The framework was developed based on previous literature and gameplay analysis. This paper offers three case studies, applying the framework to the games Madden 21, Call to Arms, and Civilization V. Possible trends related to agent intelligence, team structures, and interdependence are discussed.

scholarly journals A Symbolic Approach to Explaining Bayesian Network Classifiers

2018 ◽  
Author(s):  
Andy Shih ◽  
Arthur Choi ◽  
Adnan Darwiche
Keyword(s):  
Bayesian Network ◽  
Case Studies ◽  
Decision Diagrams ◽  
Minimal Set ◽  
Symbolic Form ◽  
Bayesian Network Classifiers ◽  
Current State ◽  
Current Classification ◽  
Decision Functions ◽  
Symbolic Approach

We propose an approach for explaining Bayesian network classifiers, which is based on compiling such classifiers into decision functions that have a tractable and symbolic form. We introduce two types of explanations for why a classifier may have classified an instance positively or negatively and suggest algorithms for computing these explanations. The first type of explanation identifies a minimal set of the currently active features that is responsible for the current classification, while the second type of explanation identifies a minimal set of features whose current state (active or not) is sufficient for the classification. We consider in particular the compilation of Naive and Latent-Tree Bayesian network classifiers into Ordered Decision Diagrams (ODDs), providing a context for evaluating our proposal using case studies and experiments based on classifiers from the literature.

Gait analysis

2013 ◽  
Author(s):  
Sophie Roberts ◽  
Sharon Dixon
Keyword(s):  
Gait Analysis ◽  
Motion Analysis ◽  
Visual Analysis ◽  
Three Dimensional ◽  
Human Gait ◽  
Two Dimensional ◽  
3D Motion ◽  
Walking Gait ◽  
3D Motion Analysis ◽  
Technological Analysis

Gait analysis describes the process of systematically quantifying mechanical aspects of walking or running to aid in the examination of a patient/client. In the publication Gait Analysis: An Introduction, Whittle (2002) identifies the eye as being the first tool in this assessment, with technology being available to supplement this visual analysis. Technological analysis tools include two-dimensional (2D) video, three-dimensional (3D) motion analysis, pressure plates, and pressure insoles. The application of technology has increased our understanding of human gait substantially. This chapter introduces the basic tools of gait analysis and highlights specific considerations when selecting appropriate tools for the assessment of walking gait. Details of running gait are provided in Chapter 1.8....

scholarly journals The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1660 ◽  
Author(s):  
Yunru Ma ◽  
Kumar Mithraratne ◽  
Nichola Wilson ◽  
Xiangbin Wang ◽  
Ye Ma ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Gait Analysis ◽  
Motion Analysis ◽  
Poor Correlation ◽  
Analysis Tool ◽  
Calibration Methods ◽  
Pattern Similarity ◽  
Children With Cerebral Palsy ◽  
Analysis System ◽  
Mean Square Errors

The aim of this study is to evaluate if Kinect is a valid and reliable clinical gait analysis tool for children with cerebral palsy (CP), and whether linear regression and long short-term memory (LSTM) recurrent neural network methods can improve its performance. A gait analysis was conducted on ten children with CP, on two occasions. Lower limb joint kinematics computed from the Kinect and a traditional marker-based Motion Analysis system were investigated by calculating the root mean square errors (RMSE), the coefficients of multiple correlation (CMC), and the intra-class correlation coefficients (ICC2,k). Results showed that the Kinect-based kinematics had an overall modest to poor correlation (CMC—less than 0.001 to 0.70) and an angle pattern similarity with Motion Analysis. After the calibration, RMSE on every degree of freedom decreased. The two calibration methods indicated similar levels of improvement in hip sagittal (CMC—0.81 ± 0.10 vs. 0.75 ± 0.22)/frontal (CMC—0.41 ± 0.35 vs. 0.42 ± 0.37) and knee sagittal kinematics (CMC—0.85±0.07 vs. 0.87 ± 0.12). The hip sagittal (CMC—0.97±0.05) and knee sagittal (CMC—0.88 ± 0.12) angle patterns showed a very good agreement over two days. Modest to excellent reliability (ICC2,k—0.45 to 0.93) for most parameters renders it feasible for observing ongoing changes in gait kinematics.

scholarly journals 3D human motion analysis framework for shape similarity and retrieval

2014 ◽  
Vol 32 (2) ◽  
pp. 131-154 ◽  
Author(s):  
Rim Slama ◽  
Hazem Wannous ◽  
Mohamed Daoudi
Keyword(s):  
Motion Analysis ◽  
Human Motion ◽  
Human Motion Analysis ◽  
Shape Similarity ◽  
Analysis Framework

scholarly journals Introduction: an empirical framework for deconstructing the realities of governing marine protected areas

2019 ◽  
Author(s):  
Peter JS Jones ◽  
Elizabeth M De Santo ◽  
Wanfei Qiu
Keyword(s):  
Protected Areas ◽  
Case Studies ◽  
Marine Protected Areas ◽  
Marine Protected Area ◽  
International Workshop ◽  
Analysis Framework ◽  
Study Approach ◽  
Governance Strategies ◽  
Management Approaches ◽  
Empirical Framework

Debates surrounding governance strategies for marine protected areas (MPAs) have to date largely focused on top-down, bottom-up or market-based approaches. Whilst co-management approaches for governing MPAs are widely accepted as a way forward for combining these three strategies, many interpretations of this concept exist and it is applied in many different ways in MPAs in different contexts. This study aimed to explore governance through a case-study approach based on a specifically developed empirical framework – the marine protected area governance (MPAG) analysis framework – to increase understanding of how to combine the three governance approaches. A dialogue with MPA practitioners in 20 case studies helped shape the MPAG analysis framework as it developed, and an international workshop was held on ‘Governing MPAs’, bringing the practitioners together to compare results and further develop the framework. This paper provides an overview of the topic and research methodology and briefly introduces the case studies further explored in this special issue

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