In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …

Benefiting from the development of the Internet of Healthcare Things (IoHT) in recent years,
locomotion mode recognition using wearable sensors plays a more and more important role …

Sign languages has extensive applications among differently-abled to communicate with
their surroundings. With the development of different sensing technologies, several new …

This study investigated the coactivation of plantar flexor and dorsiflexor muscles and oxygen
uptake during running with forefoot and rearfoot strikes at 15 and 19 km/h. We included 16 …

Humans have a complex way of expressing their intuitive intentions in real gestures. That is
why many gesture detection and recognition techniques have been studied and developed …

Introduction: Foot pronation can lead to different lower limb injuries. The purpose of this
study was to investigate the effect of long-term training on sand on ankle joint co-contraction …

1. Introduction ronation foot is a reversible complex foot deformity comprised of the heel
valgus, lower medial longitudinal arch, and abductory twist of the foot. The subtalar joint is …

The paper is devoted to the efficiency analysis of the machine learning methods for gesture
recognition, which are applied to the surface double-channel electromyography data. The …

The study aimed to explore the relationship between cerebral ischemic stroke (CIS) and the
patient's limb movement through the blood oxygenation level‐dependent functional …

Using EMG signal to realize gesture recognition is a technical difficulty in the application of
EMG signal. In order to solve this problem and ensure the accuracy and timeliness of action …