Dhanshree Thulkar

ORCID: 0000-0003-1893-2458
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About
Contact & Profiles
Research Areas
  • Retinal Imaging and Analysis
  • Retinal Diseases and Treatments
  • Glaucoma and retinal disorders
  • EEG and Brain-Computer Interfaces
  • Gaze Tracking and Assistive Technology
  • Muscle activation and electromyography studies
  • Color perception and design
  • Multisensory perception and integration
  • Advanced Chemical Sensor Technologies
  • Retinal and Optic Conditions

The world faces difficulties in terms of eye care, including treatment, quality prevention, vision rehabilitation services, and scarcity trained care experts. Early detection diagnosis ocular pathologies would enable forestall visual impairment. One challenge that limits the adoption computer-aided tool by ophthalmologists is number sight-threatening rare pathologies, such as central retinal artery occlusion or anterior ischemic optic neuropathy, others are usually ignored. In past two...

10.3390/data6020014 article EN cc-by Data 2021-02-03

Knowledge of muscle activity during movements is essential for understanding control strategies human neuromuscular system. Human face considered as source information revealing a person's affective state. This paper presents method recognizing two facial emotions from zygomaticus and corrugator muscles using channel data acquisition Zygomaticus aid in articulation mouth, nose cheeks whereas draws the eyebrows downward producing vertical wrinkles on forehead. The bioelectric signals are...

10.1109/iic.2015.7150829 article EN 2015-05-01

Response time between initial stage of diabetic macular edema (DME) and its severe leading to a higher risk vision impairment is around 3 4 years. The paper presents systematic computer aided model for detection exudates automatic screening healthy diseased fundus image prompt management early symptoms prevent the onset DME. In DME macula affected because deposits from leaky blood vessels causing blurred vision. images undergo three steps: pre-processing, feature extraction classification....

10.1109/icst47872.2019.9166446 article EN 2019 5th International Conference on Science and Technology (ICST) 2019-07-01

The aim of this paper is to apply Imaging science visualize foreign bodies' like bright lesions, exudates and characterize them with a view using productively examine diagnose the severity Diabetic Macular edema (DME) in human eyes. For recognition DME, systemic flow proposed. methodology consists Contrast-Limiting Adaptive Histogram Equalization (CLAHE) Alternate sequential filtering (AFS) techniques obtain blood vessel mesh. anatomical structures optic disc are masked macular region found...

10.1109/indicon45594.2018.8987019 article EN 2018-12-01

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10.2139/ssrn.3349052 article EN SSRN Electronic Journal 2018-01-01

Recently the classification of dissimilar facial emotion using Electromyogram (FEMG) signal has gained increased attention researcher in order to interface with bio- tribology application. The recognition study is a cumbersome analysis where accuracy key factor. In this paper, EMGs five were acquired from twenty subjects. EMG signals recorded wireless data acquisition device one pair surface electrodes used bipolar configuration. Before analysis, FEMG pre-processed and segmented into...

10.2139/ssrn.3347101 article EN SSRN Electronic Journal 2018-01-01
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