1,720,973 research outputs found
Muscular Fatigue from Electromyographic Recordings: Real-Time Monitoring during Exercise Training
No full textIn this work a novel approach to realtime
muscular fatigue detection is presented.
Surface ElectroMyoGraphy (sEMG) has been used
to monitor muscles work and in particular to detect
signs of muscular fatigue. The joint estimation of a
pair of electrical indicators (i.e. amplitude and
mean spectral frequency of sEMG signal) is the
basis for the detection of the muscular status, since
their values are strictly influenced by different
conditions of force production and fatigue
occurrence. These indicators are estimated by
adaptive algorithms specifically devised to process
signals recorded during either static or dynamic
conditions. The algorithms allow real-time
processing and are integrated into a single monitor
for muscular status. The monitor has been tested on
signals recorded during spinning training sessions.
Ten able body subjects volunteered for these
sessions composed of several tasks characterized by
different body postures and flying wheel resistances.
A movement analysis system (StepPC©, DEMItaly),
has been used to record cardiac activity,
sEMG signal from rectus femoris and angular
displacement at knee joint. Preliminary results
demonstrate the feasibility of the approach and its
capabilities in characterising the evolution of effort
and fatigue during extended, sub-maximal training
events
A novel neural eye gaze tracker
No full textA gaze tracking system, based on a novel neural approach, is proposed. The work is part of a wider research project concerning the development of human computer interfaces (HCI) addressed to disabled people, that could overcome the drawbacks of most of the existing methods for gaze tracking that require either intrusive devices or expensive equipment. This work, instead, aims at developing a low cost, completely non-intrusive and self-calibrating system which combines different techniques for three blocks in Eye Gaze Tracking, i.e. blink detection, feature extraction and neural computing. The experimental results show good accuracy in eye gaze tracking (rmse < 1 degree), and adequate generalization performance (rmse < 2 degrees)
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