To minimize the interference that skin-contact strain sensors cause natural skin deformation, physical conformability to epidermal structure is critical. Here, we developed an ultrathin sensor made from poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) inkjet-printed on a polystyrene–polybutadiene–polystyrene (SBS) nanosheet. The sensor, whose total thickness and gauge factor were ∼1 µm 0.73 ± 0.10, respectively, deeply conformed successfully detected small (∼2%) while...

Essential tremor is the most common of all involuntary movements. Many patients with an upper-limb have serious difficulties in performing daily activities. We developed a myoelectric-controlled exoskeletal robot to suppress tremor. In this article, we focus on developing signal processing method extract voluntary movement from myoelectric which and were mixed. First, Low-Pass Filter (LPF) Neural Network (NN) used recognize patient’s movement. Using these techniques, it was difficult...

Essential Tremor (ET) refers to involuntary movements of a part the body. ET patients have serious difficulties in performing daily living activities. We been developing myoelectric controlled exoskeletal robot suppress tremor. However, EMG signal contains not only signals from voluntary but also noise tremors. Then, we developed processing method tremor present surface signal. The proposed filter is based on hypothesis that could be approximate powered sine wave. In this paper, integrated...

Essential tremor is a disorder that causes involuntary oscillations in patients both while they are engaged actions and when maintaining posture. Such face serious difficulties performing such daily living activities as eating, drinking, writing. We have been developing an electromyogram-controlled exoskeleton to suppress tremors support the eating movements of these patients. This designed voluntary movement at elbow terms flexion extension: essential movements. In this study, we examined...

Essential tremor is a disorder that causes involuntary oscillations in patients while engaging actions or maintaining posture. ET have serious difficulties performing activities of daily living such as eating food, drinking water, and writing. We thus been developing an EMG-controlled exoskeletal robot to suppress tremors. The EMG signal involves mix voluntary movement signals. To control the accurately, signals must be removed from patient's signal. date, we filter remove EMG. design this...

Essential Tremor (ET) refers to involuntary oscillations of a part the body. ET patients face serious difficulties in performing daily living activities. Our motivation is develop system that can enable perform their activities; hence we have been developing myoelectric controlled exoskeletal robot for patients. However, EMG signal contains not only voluntary movement signals but also tremor signals. Accordingly, control this correctly, must be removed from To date, filter remove signals,...

An essential tremor (ET) is a disorder that causes involuntary oscillations. ET patients face serious difficulties in performing such daily living activities as eating, drinking, and writing. We have been developing an exoskeleton to suppress tremors support the eating movements of patients. The objective this study propose passive mechanism prevents appearance compensatory shoulder movement without using actuator. basic concept coordinate two DoF elbow joint. Two joint constrained one by...

Bio-signal processing is a major topic in the field of robotics. Especially, prostheses have been studied for long time to detect amputee's intentions from bio-signals because they do not their limbs. However, controlling using such as brain and surface electromyograms (sEMG), complex nonlinear these signals are noisy varied. It easy determine extent motion joint angle, previous research used models or machine learning based on bio-signals. To estimate angle easily accurately, we propose new...

Quaternion convolutional neural networks (QCNNs) expand the range of their applications in processing optical and polarimetric synthetic aperture radar (PolSAR) images. Conventional real-valued (RVCNNs) compress a three-channel input image into single-channel feature map ignore relationship among channels. In contrast, QCNNs deal with as single quaternion matrix perform operation without reduction They can learn interrelationship channel components. Though there exist two types QCNNs, they...

In this paper, the role of human being toe is investigated. The change sole pressure distribution using a measurement system and that at walk by existence are order to investigate whole walking, affection posture 3D motion capture also measured. Furthermore, amount energy consumption measured spirometry system. At last, we roles toe, such as, efficiency big 2nd stabilization posture, synthesis these results.

Essential Tremor (ET) refers to involuntary movements of a part the body. ET patients have serious difficulties in performing their daily living activities. Our ultimate goal is develop system that can enable perform We are process developing an exoskeletal robot for patients. This controlled by estimation voluntary movement using surface electromyogram (EMG) signal input and Neural Network (NN) learning algorithm. However, EMG contains not only signals from but also noise tremors. therefore...

Ascertaining a person's motion intentions through muscle activity is important for controlling various assistive devices people with disabilities. Several techniques have been proposed estimating the extent of intended joint angle using skin deformation information derived from contractions. The objective this study to verify our signal processing procedure wrist in able-bodied subjects and an upper-limb amputation. Skin was measured tactile sensor consisting 48 distance sensors over large...

A novel joint angle estimation method is proposed using a new bio-signal for an amputee subject. We used the muscle bulge movement on forearm skin surface as estimating extent of motion in previous study. found that it feasible to estimate intended wrist distribution intact subjects. Thus, present paper, we validate feasibility our amputee. In applying subject, improved distance sensor device so can accommodate position muscle, which variable addition, algorithm estimates linear multiple...

Essential tremor, the most common pathological is assumed to originate in central nervous system. It can result functional disability because tremors obstruct movement. We have developed a soft exosuit assist essential tremor patients that provides comfortable, unobtrusive and interface human body, evaluated whether it constrain joint movement suppress tremors. prototype cable-driven based on three-point fixation restricts motion only when necessary. Tremors were simulated healthy test...

Essential tremor is a disorder that causes involuntary oscillations in patients both while they are engaged actions and when maintaining posture. Such face serious difficulties performing daily living activities such as meal movement. We have been developing an electromyogram (EMG)-controlled exoskeleton to suppress tremors support the movements of these patients. The problem EMG signal modulated by multiplicative noise. In this paper, we proposed novel processing method demodulate patients’...

Essential Tremor (ET) refers to involuntary movements of a part the body. ET patients have serious difficulties in performing daily living activities. Our ultimate goal is develop system that can enable perform We been developing an exoskeleton robot for patients. make use electromyogram (EMG) signal control this robot. However, EMG contains not only signals from voluntary but also noise tremors. In paper, we focus on processing method suppress tremor present surface signal. The proposed...

The objective of this paper is to develop a method estimate the wrist joint angle based on deformation forearm skin surface during muscle contraction. We have focused longitudinal movement bulge along forearm. previously confirmed one-to-one relationship between and angle, validated feasibility estimation using relationship. However, was difficult perform because misalignment sensor muscle. Here we use tactile that can measure three-dimensional data map location. measured large 32 × 96 mm...

This paper presents a method to evaluate the hand-eye coordination of master-slave surgical robot by measuring activation intraparietal sulcus in users brain activity during controlling virtual manipulation. The objective is examine changes when user's visual or somatic feedback passed through intercepted. hypothesis that activates significantly both and sense pass feedback, but deactivates either three subjects was measured functional near-infrared spectroscopic-topography imaging while...

Most sports-assisting technologies have been developed to improve performances only in individual sports such as skiing, batting, and swimming. In team sports, it is important perceive one's position relative others. Few studies focused on which not require the motor ability of players, but also their perceptual abilities. This pilot study aimed evaluate effectiveness a visual feedback system players' spatial perception The was composed flying drone that transmitted an image participant's...

In this paper, we introduce an annotation-based assistance system for unmanned helicopter with a wearable augmented reality environment. system, operator controls the remotely while watching annotated view from through head mounted display (HMD) laptop PC in backpack. Annotations assist operation indicating some conditions of and name buildings nearby. The position attitude is measured by GPS gyroscope, sent to operator's via wireless LAN.

Essential tremor is a disorder that causes involuntary oscillations in patients both while they are engaged actions and when maintaining posture. Such face serious difficulties performing such daily living activities as eating, drinking, writing. We have been developing an electromyogram (EMG)-controlled exoskeleton to suppress tremors support the movements of these patients. In this paper, we proposed novel signal processing method demodulate patients' EMG signal, which contains voluntary...

The increase in care-receiver/caregiver ratio is becoming a social problem Japan, one factor which the number of falls elderly. purpose this study to develop balance training ability system for fall prevention. To effectively improve while walking, dynamic specialized somatic sensation useful. We developed that greatly improves by removing visual information outside world during gait and producing feedback information, consisting joint angle about whole body foot pressure distribution is,...

We prove that a K3 surface with an automorphism acting on the global $2$-forms by primitive $m$-th root of unity, $m \neq 1,2,3,4,6$, does not degenerate (assuming existence so-called Kulikov models). A key result used to this is rationality actions automorphisms graded quotients weight filtration $l$-adic cohomology groups surface.