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Gait recognition has been considered as the emerging biometric technology for identifying the walking behaviors of humans. The major challenges addressed in this article is significant variation caused by covariate factors such as... more
The needs of research on human posture and its joint-motion relationships are important. Providing a real-time postural measurement tool has attracted the attention of many human postural-related researchers. This study has developed and... more
Hidden Markov Models (HMMs) which fall under the class of latent variable models have received widespread attention in many fields of applications. HMMs were initially developed and applied within the context of speech recognition. The... more
Hidden Markov Models (HMMs) which fall under the class of latent variable models have received widespread attention in many fields of applications. HMMs were initially developed and applied within the context of speech recognition. The... more
Range and patterns of movement estimation is a crucial concern for clinicians in the diagnostic and functional assessment of patients with musculoskeletal disorder. To obtain a record of the degree of permanent impairment of an... more
This paper presents the system designed to estimate body silhouette representation from sequences of images. The accuracy of human motion estimation can be improved by increasing the complexity of any of the three fundamental building... more
Commercial gait analysis systems rely on wearable sensors. The goal of this study is to develop a low cost marker less human motion capture tool. Our method is based on the estimation of 3d movements using video streams and the projection... more
This paper presents object tracking methods in video.Different algorithms based on rigid, non rigid and articulated object tracking are studied. The goal of this article is to review the state-of-the-art tracking methods, classify them... more
Purpose Power gain from piezoelectric harvesters depends on several parameters and one of them is to design the substructure as to increase the mechanical strain occurred in the piezoelectric material. In this study, the effect of... more
The aim of this work is to develop a versatile muscle model and robustly implement it in an existent multibody system dynamics code with natural coordinates. Two different models are included: the first is a Hill-type muscle model that... more
Though continuous advances in the field of human pose estimation, it remains a challenge to retrieve high-quality recordings from real-life human motion using commodity hardware. Therefore, this work focuses on predicting and improving... more
Embodying Sound is a performing art project that integrates dance, music and digital technology, it explores a real-time sonification of human motion, captured by inertial sensors, using the XSens system. First and foremost, it is not a... more
The authors present exemplary application of recurrence plots, cross recurrence plots and recurrence quantification analysis for the purpose of exploration of experimental time series describing selected aspects of human motion. Time... more
The recent ubiquity of high-framerate (120 fps and higher) handheld cameras creates the opportunity to study human grasping at a greater level of detail than normal speed cameras allow. We first collected 91 slow-motion interactions with... more
Aim: The study examined the effect of time on amount of voltage generated in a foot beat electricity generating system stored in a battery. Study Design: A system made of piezoelectric materials was designed such that the foot beats of... more
Changes in power in the mu frequency band (8-13 Hz) of the electroencephalogram (EEG) is thought to indirectly reflect the activity of mirror neurons in premotor cortex. Activation of these neurons by self-performed, observed or imagined... more
a robotic arm is a mechanical adaptation of human arm with similar functional capability, but with set pre-defined task and instruction it can perform its task with more precision and accuracy. But programming a robotic arm still requires... more
Mechanical energy is the most ubiquitous form of energy that can be harvested and converted into useful electrical power. For this reason, the piezoelectric energy harvesters (PEHs), with their inherent electromechanical coupling and... more
This paper presents generation of human motion by using a skeletal muscle and skin represented by elastic object. On the whole, human motion is associated according to the contraction of skeletal muscle. And, it results rotation and... more
In recent years, numerous studies have employed smartphone accelerometer data to identify human activities, leading to the development of increasingly complex and sophisticated algorithms. These evaluations acknowledge human actions.... more
In recent years, numerous studies have employed smartphone accelerometer data to identify human activities, leading to the development of increasingly complex and sophisticated algorithms. These evaluations acknowledge human actions.... more
Human motion monitoring with wearable devices has become a hot research topic in the field of smart wearable devices. In this paper, the principles and historical development of human motion monitoring with wearable devices are analyzed... more
Energy harvesting technology has been developed over the years due to the demand for low power electronic applications. One of the types of energy harvester is the triboelectric transduction. Triboelectric energy harvesters have been... more
Moving or dynamic object analysis continues to be an increasingly active research field in computer vision with many types of research investigating different methods for motion tracking, object recognition, pose estimation, or motion... more
Within a human motion analysis system, body parts are modeled by simple virtual 3D rigid objects. Its position and orientation parameters at frame t + 1 are estimated based on the parameters at frame t and the image intensity variation... more
Falling is one of the causes of accidental death of elderly people over 65 years old in Taiwan. If the fall incidents are not detected in a timely manner, it could lead to serious injury or even death of those who fell. General fall... more
The dynamics of the human body has generated considerable recent research interest among scientist devoted to reducing the number of injuries and for performance improvement. In these studies, the investigation is usually addressed by... more
Motion onset evoked visual potentials are dominated by a negativity (N2) at occipital electrodes and a positivity (P2) at the vertex. The degree of true motion processing reflected by N2 and P2 was estimated from the direction specificity... more
The aim of this study was to quantitatively describe the dynamics of adaptation to visual motion with electrophysiological and psychophysical methods in man. We recorded visual evoked potentials (VEPs) to motion onset of random dot... more
Mechanical component response to shock environments must be predictable in order to ensure reliability and safety. Whether the shock input results from accidental drops during transportation to projectile impact scenarios, the system must... more
Los sensores RGB-D han permitido atacar de forma novedosa muchos de los problemas clásicos en visión por computador, tales como la segmentación, la representación de escenas, la interacción humano-computador, entre otros. Con respecto a... more
In engineering and transportation, beams are frequently utilized as structural elements for both static and dynamic loads. This paper focuses on a smart structure method that incorporates ANSYS software for modeling and simulation.... more
The aim of this paper is to develop algorithms to measure motion features by investigating concepts which are commonly used to describe movement characteristics in both research studies and everyday life: impulsivity and smoothness. We... more
The need to measure human motion and to estimate its kinematic and dynamic parameters in a real time appears in many fields such as medicine, sport, art and entertainment. This publication describes, inexpensive and easy to customize for... more
Evolved Topology Generalized Multi-layer Perceptron (GMLP) for Anatomical Joint Constraint Modelling
The accurate simulation of anatomical joint models is becoming increasingly important for both medical diagnosis and realistic animation applications. Quaternion algebra has been increasingly applied to model rotations providing a compact... more
The ability to describe motion is a fundamental skill needed by kinesiologists. The basics of motion analysis are taught in the required biomechanics course. Previously, these concepts were conveyed in a traditional lecture format. Now,... more
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveillance, human motion analysis, etc. Various statistical... more
Absfracf -An acceleration-based wireless motion Sensing System (WMOSS) was developed for sports science applications. It is able to provide real-time information on human motions other than the conventional vision-based motion sensing... more
This paper introduces the development of a mobile human airbag system designed for fall protection for the elderly. A Micro Inertial Measurement Unit (µIMU) that is 66 mm x 20 mm x 20 mm in size is built. This unit consists of three... more
This paper presents the principle and the energy potential of an original electromechanical generator that uses human body natural motions during walking, in order to create an autonomous generator. This in vivo and noninvasive system is... more
This paper presents the principle and the energy potential of an original electromechanical generator that uses human body natural motions during walking, in order to create an autonomous generator. This in vivo and noninvasive system is... more
The use of image processing schemes as part of the security systems have been increasing, to detect, classify as well as to tract object and human motion with a high precision. To this end several approaches have been proposed during the... more
We present a novel and generic framework for the recognition of body expressions using human postures. Motivated by the state of the art from the domain of psychology, our approach recognizes expression by analyzing sequence of pose.... more
Accumulating evidence has suggested the existence of a human action recognition system involving inferior frontal, parietal, and superior temporal regions that may participate in both the perception and execution of actions. However,... more
This paper describes the methods used to construct an interactive installation using human motion to animate both an aural and visual particle system in synch. It outlines the rotoscoping, meta-motion processing, and visual particle... more
This paper introduces a new 3D skeleton-based gait recognition method for motion captured by a low-cost consumer level camera, namely the Kinect. We propose a new representation of human gait signature based on the spatio-temporal changes... more
I hereby certify that I am the sole author of this thesis and that no part of this thesis has been published or submitted for publication. I certify that, to the best of my knowledge, my thesis does not infringe upon anyone's copyright... more