To study the relationship between surface electromyography (sEMG) and joint movement, to provide reliable reference information for exoskeleton control, sEMG corresponding movement of knee during normal walking adults have been measured. After processing experimental data, estimation model from was established using novel method random forest with principal component analysis (RFPCA). The influence sample size previous data on prediction efficiency analyzed. not sensitive when samples...

Background: Alpinia officinarum Hance is both an herbal medicine and a condiment, generally has different cultivars such as Zhutou galangal Fengwo galangal. The appearance of these A. similar, but their chemical composition quality are different. It therefore important to discriminate between plants ensure the consistency efficacy medicine. Therefore, we used electronic nose (E-nose) explore differences in odor information two for fast robust discrimination. Methods: Odor volatile components...

Abstract Although both theoretical and empirical studies have revealed the impact of career learning experiences on decision‐making, most ignored interwind relationships between different experiences. Thus, present study employed a person‐centered approach to explore latent profiles that arise among Chinese college students examine how these are related decision‐making difficulties. A sample 1737 (72.7% females) completed version Career Exploration Decision Learning Experiences (CEDLE‐C)...

In recent years, surface electromyogram signals have been increasingly used to operate wearable devices. These devices can aid help workers or soldiers lower the load in task boost efficiency. However, achieving effective signal prediction has always a challenge. It is critical use an appropriate preprocessing method and algorithm when developing controller that accurately predict control human movements real time. For this purpose, article investigates effect of various methods algorithms...

In the present study, we used a transformer model and fusion of biosignals to estimate rotational acceleration in elbow shoulder joints. To achieve our study objectives, proposed mechanomyography (MMG) signal isolation technique based on variational mode decomposition (VMD) algorithm. Our results show that VMD algorithm delivered excellent performance MMG extraction compared commonly empirical (EMD). addition, found models estimates joint were more precise than those produced by mainstream...

Pharmacognosy Magazine ,2019,15,63,392-401.DOI:10.4103/pm.pm_665_18Published:May 2019Type:Original Article Authors:Huaying Zhou, Dehan Luo, Hamid Gholamhosseini, Zhong Li, Bin Han, Jiafeng He, and Shumei Wang Author(s) affiliations:Huaying Zhou1, Luo2, Gholamhosseini3, Li4, Han4, He2, Wang4 1Department of Communication, School Information Engineering, Guangdong University Technology; Department Computer Science, College Medical Pharmaceutical University, Guangzhou, China 2Department...

With the development of powered exoskeleton in recent years, one important limitation is capability collaborating with human. Human-machine interaction requires to accurately predict human motion upcoming movement. Many works implement neural network algorithms such as recurrent networks (RNN) prediction. However, they are still insufficient efficiency and accuracy. In this paper, a Gaussian process latent variable model (GPLVM) employed transform high-dimensional data into low-dimensional...

Abstract The Panxi region is located in the frontal zone of positive squeezing subduction and side shearing between Indian plate Eurasian plate. long‐period magnetotelluric (LMT) broadband (MT) techniques are both used to study deep electrical conductivity structure this region; magnetic gravity surveys also performed along profile. According 2‐D resistivity model Yanyuan‐Yongshan profile, a high‐conductivity layer (HCL) exists widely crust, high‐resistivity block (HRB) upper mantle general,...

Abstract In this paper, we explore potential surplus modelling improvements by investigating how well the available models describe an insurance risk process. To end, obtain and analyse a real-life data set that is provided anonymous insurer. Based on our analysis, discover both purchasing process corresponding claim have seasonal fluctuations. Some special events, such as public holidays, also impact these processes. existing literature, seasonality often stressed in process, while cash...

Nonanthropomorphic structures have been increasingly used in lower limb exoskeletons. However, little research focuses on the human–machine–environment interactive measurement for nonanthropomorphic This article presents a series of sensing methods exoskeleton, which only uses six angular encoders at joints and an inertial unit (IMU) back plate to observe entire body motion state. The system is designed identify walking terrain through kinematic calculation while mapping angle exoskeleton...

To improve soldiers’ combat capability, weapon arms have a good development prospect. However, due to special work scenarios and tasks, new requirements are exerted on. Based on the fast-expanding random tree algorithm (RRT), path optimization (RRT-H) is proposed for planning of arms. Overall achieved by reducing local length with closer point obstacle. In complex environment, RRT-H can avoid traps guiding extension direction exploring multiple different paths in map. The superiority this...

This study explores deep learning's (DL) role in enhancing Crohn's Disease (CD) diagnosis and treatment, aiming to overcome current diagnostic challenges improve patient outcomes through more accurate, efficient, personalized medical interventions. comprehensive review scrutinized a plethora of studies focusing on the utilization machine learning (ML) DL methodologies for diagnosing CD. The investigation spanned various Artificial Intelligence (AI) techniques. endeavor aimed illustrate...

Joint models for longitudinal and time‐to‐event data are receiving increasing attention owing to its capability of capturing the possible association between these two types data. Typically, a joint model consists submodel processes survival response, links submodels by common covariates that may carry both fixed random effects. However, research gaps still remain on how simultaneously select effects from under modeling framework efficiently effectively. In this article, we propose novel...

This paper is written according to the wearable extra robotic legs named Extra Assistant Robotic Legs (EARL). The EARL consists of one upper base and two legs. worn through a backpack around body are distributed lower body. In this paper, research subject EARL. order ensure that human can have better movements matching under state wearing EARL, realize efficient, flexible stable coordinated movements, planning algorithm hybrid dual-mode gait includes walking running for proposed. an...

Transformers have gained great popularity for sequential modeling, especially in fields such as natural language processing (NLP). Recently, numerous architectures based on the Transformer framework are proposed, leading to achievements applications. However, working principles behind still remain mysterious. In this work, we numerically investigate geometrical properties of data representation learned by Transformers, via a mathematical concept called intrinsic dimension (ID), which can be...

In wearable robots, the application of surface electromyography (sEMG) signals in motion intention recognition is a hot research issue. To improve viability human-robot interactive perception and to reduce complexity knee joint angle estimation model, this paper proposed an model for based on novel method multiple kernel relevance vector regression (MKRVR) through offline learning. The root mean square error, absolute R2_score are used as performance indicators. By comparing MKRVR least...