Monalisa Pal

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A simple method to detect gestures revealing muscle and joint pain is described in this paper. Kinect Sensor is used for data acquisition. This sensor only processes twenty joint coordinates in three dimensional space for feature extraction. The recognition part is achieved using a neural network optimized by Levenberg-Marquardt learning rule. A high(More)
The MnFe2O4 nanoparticle has been among the most frequently chosen systems due to its diverse applications in the fields ranging from medical diagnostics to magnetic hyperthermia and site-specific drug delivery. Although numerous efforts have been directed in the synthesis of monodisperse MnFe2O4 nanocrystals, unfortunately, however, studies regarding the(More)
The present work proposes an artificial system capable of preventing Computer Vision Syndrome from the analysis of eye movements. Ocular data is recorded using an Electrooculogram signal acquisition system developed in the laboratory. Wavelet detail coefficients obtained using Haar and Daubechies order 4 mother wavelets are used as signal features. From the(More)
The aim of this novel work is to recognize 12 health care linked gestures from young individuals of 2040 years of age group. Due to constant sitting in a specific posture for deskbound jobs, functioning of joints and muscles of persons are deteriorated. The scope of this work is to recognize the early stage symptoms of those physical disorders and notify(More)
In this paper a system for detecting the possibility of eye dystonia, a neural disorder that causes a person to blink excessively, by eye movement analysis is proposed. The designed system counts the number of blinks for a particular time interval and thus detecting the risk of eye dystonia. Electrooculogram (EOG) signal is recorded to collect eye movement(More)
Zinc-doped magnetic nanoclusters (Zn-MNCs) were synthesized and used to detect pathogenic bacteria in milk. Hydrothermally synthesized Zn-MNCs exhibited stronger magnetic properties than pure MNCs, which facilitated the magnetic separation from the sample using a permanent magnet. The presence of accessible Zn sites allows the direct immobilization of(More)
Deformability and texture are two unique object characteristics which are essential for appropriate surface recognition by tactile exploration. Tactile sensation is required to be incorporated in artificial arms for rehabilitative and other human–computer interface applications to achieve efficient and human-like manoeuvring. To accomplish the same, surface(More)
Gesture recognition for healthcare aiding independent living of young and elderly individuals has been a focused area of research. The purpose of this work is to identify 14 distinct gestures of individuals using similarity matching algorithm. The scope of this proposed work covers occupational hazards arising from prolonged sitting in a particular posture(More)