Speech signal processing and its recognition system have gained a lot of attention from last
few years due to its widespread application. In this paper, a novel approach is proposed for …

Objective. Correlating electrical activity within the human brain to movement is essential for
developing and refining interventions (eg deep brain stimulation (DBS)) to treat central …

Dual-axis accelerometry has recently shown promise as a non-invasive method for detecting
swallowing impairment using signal processing and pattern classification algorithms …

Tongue-movement ear pressure (TMEP) signals provide an unobtrusive, completely non-
invasive, wearable and assistive human–machine interface (HMI). The HMI concept is …

人-机交互(Human-Computer Interface, HCI) 是将人的意图或运动转为机器指令的技术. 其中,
利用生物电信号来实现人与外部设备之间实时通信的HCI 系统可反映人体内部状态和预期行动 …

Voice signal analysis and identification of disease framework for Parkinson's disease (PD) is
most required thing in the past few years. A new framework for determination and …

Real-time locomotion intent recognition is a challenge in lower-limb exoskeletons. In this
paper, we present a multi-sensor based locomotion intent prediction system for sit-to-stand …

The interactions between paralyzed individuals with severe physical disabilities and smart
infrastructure need to be facilitated, and the tongue–computer interface (TCI) provides an …

For severe paralyzed individuals, free communications with the environment are of great
importance. However, constrained by their body functions, available interaction technologies …

The advancement in biosignal processing and modelling has led to exploring the human
brain and developing assistive Human Machine Interface (HMI) as well as Brain Machine …