This paper presents the use of AI-based uncertainty management in the processing of multiple modalities for the purpose of gait motion tracking using Inertial Measurement Units (IMU) sensors. More precisely, it deploy...
详细信息
ISBN:
(数字)9798350353358
ISBN:
(纸本)9798350353365
This paper presents the use of AI-based uncertainty management in the processing of multiple modalities for the purpose of gait motion tracking using Inertial Measurement Units (IMU) sensors. More precisely, it deploys its effort on the assessment of gait abnormalities in Alzheimer disease and other health related illnesses. It can be used to perform a long-term tracking of gait patterns for Alzheimer's patients and identification of the changes that occur allowing for the evaluation of the disease's progression or the outcomes of treatments. Therefore, this research greatly boosts the efficiency of gait analysis systems especially in the identification of mechanical disorders of the musculoskeletal system and the subsequent treatments and the core of diagnosis and rehabilitation. Over the last decade, progress in technology has led to the enhancements in the IMUs that are used in gait analysis where IMUs have shifted from single sensor to multiple sensors where the sensor data is processed through a method known as sensor fusion and machine learning. These developments have made possible their use in both clinical and consumer contexts. Recent developments in gait motion capture enabled by AI are as the continuous trends in deep learning and video-based approaches made marker-less and non-invasive methods possible. Such analyses are crucial for identification work, which in turn positively affects the identification and reintegration into the delivery of health care, of diagnosis and rehabilitation.
This paper analyzes the device voltage overshoot in the symmetrical hybrid five-level converter. Owing to the presence of stray inductance, the voltage that the power devices need to withstand during switching operati...
详细信息
This paper conducts a comparative analysis of human torso posture estimation methodologies, focusing on an inertial measurement unit (IMU) sensor coupled with an Arduino UNO as a wearable approach, and Kinect V2, util...
详细信息
ISBN:
(数字)9798350377224
ISBN:
(纸本)9798350377231
This paper conducts a comparative analysis of human torso posture estimation methodologies, focusing on an inertial measurement unit (IMU) sensor coupled with an Arduino UNO as a wearable approach, and Kinect V2, utilizing OpenCV for posture analysis. The core objective of this study is to ascertain which method yields greater precision in the estimation of human torso posture. The IMU sensor, characterized by its wearability, provides the distinct advantage of unobtrusiveness and the capability to record motion across diverse environments. Conversely, Kinect V2 leverages computer vision techniques to derive posture estimations from visual data in real-time. Through comprehensive experimentation, this research evaluates the accuracy of both methodologies by juxtaposing their posture estimation outcomes. The findings of this investigation aim to significantly contribute to the enhancement of human posture estimation systems, with wide-ranging implications for health, sports, and ergonomics.
作者:
Han, MengqiYang, BoLiu, YuxiangLiu, SichengLiu, QiDepartment of Automation
Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China
With the rapid development of smart manufacturing, existing microservice deployment strategies based on the TCP protocol tend to encounter problems such as network latency, excessive header length, and port exhaustion...
详细信息
The aim of this study is to design L1 adaptive controller, which is one of the robust control methods that can overcome model uncertainties, disturbances and noises, for a fixed-wing unmanned aerial vehicle (UAV) with...
详细信息
The classic method of diagnosing motor failure is to analyze the signal characteristics of the motor. If a deep learning algorithm is used, the above process is omitted. This is replaced by a lot of data. However, the...
详细信息
Toilet quality assurance is a crucial process in ensuring lavatories meet rigorous performance, durability, and hygiene standards. The current standard of Maximum Performance (MaP) testing faces challenges, leading re...
详细信息
Network systems refer to a new generation of systems with integrated information perception,transmission and utilization capabilities through communication networks,which are adopted to achieve desirable objectives un...
详细信息
Network systems refer to a new generation of systems with integrated information perception,transmission and utilization capabilities through communication networks,which are adopted to achieve desirable objectives under physical and information related uncertainties and/or adversary *** the information-rich era[1,2],one of the fundamental issues is to exploit the limit of feedback control on dissipating such uncertainties in the scenarios of networked sensing and communication[3].
Moving target defense (MTD) is a promising approach to defend against load redistribution attacks on the internet-of-things (IoT)-based smart grid networks by probing the distorted state estimates with the distributed...
详细信息
In elderly society, the falling of the elderly inside the house is the one of the causes of injury or death to the elderly. It negatively affects both the family and the elderly themselves. Therefore, taking care of t...
详细信息
暂无评论