Hand gestures recognition (HGR) has been considered as one of the crucial research fields human-computer interaction (HCI). Computer vision is a very active field in HGR, traditional vision-based methods, which used camera and ultrasonic/optical sensor to collect videos or images hand shown by participants, have some limitations, such fixed in-lab location, complex lighting conditions, cluttered backgrounds. In order provide new approaches, we described development novel gesture system that...

Pressure senor array is widely used in gait analysis and robotics. To meet the demand on different sizes reduce manufacture costs, this paper, we proposed a design method for customizable pressure sensor which could be trimmed into sizes. The was made of piezo-resistive fabric flexible circuits, it suitable to sensors were uniformly distributed maintain resolution when Wires circuits designed ensure that all full/partial remained after trimming smaller size. evaluate method, insole shaped...

With the development of Internet Things (IoT), wearable technologies have been proposed to measure gait parameters in everyday life. However, since both diseases and activities could influence patterns, clinicians cannot use measured for clinical applications without knowing corresponding activities. To address this problem, a novel analysis method—"gait terms daily living (ADLs)"—was based on Smart Insole system. Twenty six were extracted realize systematic analysis. Novel activity...

The vertical ground reaction force (vGRF) and its characteristic weight acceptance push-off peaks measured during walking are important for gait biomechanical analysis. Current wearable vGRF estimation methods suffer from drifting errors or low generalization performances, limiting their practical application. This paper proposes a novel method reliably estimating using data collected the smart insole, including inertial measurement unit newly introduced center of pressed sensor data. These...

With the development of Internet Things (IoT), indoor localization has been a research focus in recent years. For inertial measurement unit (IMU)-based method, zero velocity update (ZUPT) uses known at stationary epoch as benchmark to calibrate drift. However, only takes up 24% whole gait cycle time, and drift remaining 76% time is usually estimated according an assumption that linear over which would introduce errors. In this paper, two-step calibration method was proposed based on human...

Falls are leading causes of nonfatal injuries in workplaces which lead to substantial injury and economic consequences. To help avoid fall injuries, safety managers usually need inspect working areas routinely. However, it is difficult for a limited number hazards instantly especially large workplaces. address this problem, novel hazard identification method proposed paper makes possible all workers report the potential automatically. This based on fact that people use different gaits get...

In this paper, a system for lower-limb amputees to collect and analyze their locomotion activities is developed. Wearable Gait Lab (WGL) pair of smart insoles that can plantar pressure data foot motion subjects. A reinforcement learning model trained imitate the walking pattern amputee on musculoskeletal by introducing realistic velocity into training process. The collected from our were used recognize modes amputees. Experiments showed outcome be reference analyzing muscle amputee. also...

Accurate blood pressure (BP) measurement depends on the reliability of oscillometric cuff pulses (OscP) and Korotkoff sounds (KorS) for automated manual techniques. It has been widely accepted that respiration is one main factors affecting BP measurement. However, little known about how affects signals from which obtained. The aim was to quantify modulation effect KorS during clinical Systolic diastolic BPs were measured manually 40 healthy subjects (from 23 65 years old) under normal...

Risk factors, such as overexertion, awkward postures, excessive repetition, and the combination of these factors are main causes work-related musculoskeletal disorders (WMSDs) which reported to be leading nonfatal occupational injuries. However, it is difficult for commonly used risk identification methods (e.g. observational methods) give an objective comprehensive analysis on factors. To address above problem, we proposed automatic WMSDs method based Wearable Connected Gait Analytics...

Abstract Patients with severe coronavirus disease in 2019 (COVID-19 pneumonia) may have many sequelae, which seriously affect their quality of life and work. Here, we report a case infection China, reviewed the course, treatment, rehabilitation patient suffering from COVID-19 pneumonia, collected his examination reports, including chest CT, laboratory results, lung function examination, sleep monitoring report, sex hormones, sperm morphology activity. The patient’s antiviral immunoglobulin G...

In this paper, we implement a behavioral biometric-based smartphone authentication technique with online training methods. The most obvious difference between and traditional classification is that methods allow model data collection to be in progress simultaneously. Therefore, our proposed system superior when dealing time series its can updated adapt the change of user's habit. To verify feasibility used biometric authentication, three algorithms four are tested collected dataset. They all...

Respiratory frequency is an important physiological feature commonly used to assess health. However, the current measurements involve dedicated devices which not only increase medical cost but also make health monitoring inconvenient. Earlier studies have shown that respiratory could be extracted from electrocardiography (ECG) signal, little was done possibility of extracting oscillometric cuff pressure pulses (OscP) or Korotkoff sounds (KorS), are normally for measuring blood and more...

Lifting during manual material handling is a major cause of low-back pain (LBP). As an important risk factor that directly influences the LBP, Load vertical location (LVL) lifting needs to be measured and controlled. However, existing solutions for LVL measurement are inefficient, inaccurate, impractical real-world workplace environments. To address these problems, unobtrusive wearable system, including smart insoles wristbands, was proposed measure accurately in Different from traditional...

Low back pain (LBP) is a leading musculoskeletal disorder, and manual material lifting proven to be major cause of LBP. However, current solutions for monitoring LBP risk factor - load vertical location (LVL), are not user-friendly or accurate, which makes them impractical real-world applications. To address these problems, wearable system was proposed in this study realize an accurate measurement LVL over time. The consists pair smart insoles, each integrated with insole-shaped pressure...

Assistive devices such as powered prosthesis have the potential to help people with amputations by restoring mobility and contributing their independence. The ability recognize human intentions preceding actions is critical smooth safe interaction between a user prosthesis. Although many methods been proposed user's intended motion, most rely on multiple sensors placed various body segments, making them impractical for real-world applications. In addition, sliding-window-based are typically...

Prosthetic devices have significantly improved mobility and quality of life for amputees. Significant engineering advancements been made in artificial limb biomechanics, joint control systems, light-weight materials. Amputees report that the primary problem they face with their limbs is a poor fitting socket. In this paper, we propose smart prosthesis system, which measure real-time force distributions within prothetic socket dynamically visualize results mobile application. A major part...

Lifting during manual material handling is a major cause of low-back pain. The load vertical location lifting an important risk factor that can develop However, current solutions for predicting are not efficient, accurate, or practical use in uncontrolled workplace settings. In this pilot research, wrist-worn barometer sensor and the subsequent data processing algorithm proposed to measure hand travel distance which closely related location. system yielded mean absolute error 4.59 cm root...