An intelligent sensing system tor healthcare applications using real-time EMG and gaze fusion

Al-Mansoori, Aisha; AlHarami, AlKhzami; AlMesallam, Rawda; Qidwai, Uvais; Amira, Abbes

doi:10.1109/intellisys.2015.7361185

2015 SAI Intelligent Systems Conference (IntelliSys) 2015

DOI: 10.1109/intellisys.2015.7361185

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An intelligent sensing system tor healthcare applications using real-time EMG and gaze fusion

Aisha Al-Mansoori

AlKhzami AlHarami

Rawda AlMesallam

et al.

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2017

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Human Hand Motion Analysis with Multisensory Information

Liu¹,

Ju²,

Ji³

et al. 2017

Human Motion Sensing and Recognition

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In order to study and analyse human hand motions which contain multimodal information, a generalised framework integrating multiple sensors is proposed and consists of modules of sensor integration, signal preprocessing, correlation study of sensory information and motion identification. Three types of sensors are integrated to simultaneously capture the finger angle trajectories, the hand contact forces and the forearm electromyography (EMG) signals. To facilitate the rapid acquisition of human hand tasks, methods to automatically synchronise and segment manipulation primitives are developed in the signal preprocessing module. Correlations of the sensory information are studied by using Empirical Copula and demonstrate there exist significant relationships between muscle signals and finger trajectories and between muscle signals and contact forces. In addition, recognising different hand grasps and manipulations based on the EMG signals is investigated by using Fuzzy Gaussian Mixture Models (FGMMs) and results of comparative experiments show FGMMs outperform Gaussian Mixture Models (GMMs) and Support Vector Machine (SVM) with a higher recognition rate. The proposed framework integrating the stateof-the-art sensor technology with the developed algorithms provides researchers a versatile and adaptable platform for human hand motion analysis and has potential applications especially in robotic hand or prosthetic hand control and Human Computer Interaction (HCI).

show abstract

Human Hand Motion Analysis with Multisensory Information

Liu¹,

Ju²,

Ji³

et al. 2017

Human Motion Sensing and Recognition

View full text Add to dashboard Cite

show abstract

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An intelligent sensing system tor healthcare applications using real-time EMG and gaze fusion

Cited by 1 publication

References 14 publications

Human Hand Motion Analysis with Multisensory Information

Human Hand Motion Analysis with Multisensory Information

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