ABSTRACT
The purpose of this paper is to enhance the performance of the virtual assistant. So, what exactly is a virtual assistant. Application software, often called virtual assistants, also known as AI assistants or digital assistants, is software that understands natural language voice commands and can perform tasks on your behalf. What does a virtual assistant do. Virtual assistants can complete practically any specific smartphone or PC activity that you can complete on your own, and the list is continually expanding. Virtual assistants typically do an impressive variety of tasks, including scheduling meetings, delivering messages, and monitoring the weather. Previous virtual assistants, like Google Assistant and Cortana, had limits in that they could only perform searches and were not entirely automated. For instance, these engines do not have the ability to forward and rewind the song in order to maintain the control function of the song;they can only have the module to search for songs and play them. Currently, we are working on a project where we are automating Google, YouTube, and many other new things to improve the functionality of this project. Now, in order to simplify the process, we've added a virtual mouse that can only be used for cursor control and clicking. It receives input from the camera, and our index finger acts as the mouse tip, our middle finger as the right click, and so forth.Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
ABSTRACT
Purpose : COVID-19 vaccination has been accompanied by reports of inflammatory events. We aim to report the first case of bilateral persistent placoid maculopathy (PPM) following COVID-19 vaccination. Methods : Case report Results : A 58-year-old man presented with bilateral sudden painless decrease in vision approximately two weeks after the second dose of AstraZenaca® COVID-19 vaccine. Visual acuity (VA) at presentation was 1.00 LogMAR in the right eye (RE) and hand movement in the left eye (LE). He had no known medical or ophthalmic history, up until after his first AstraZenaca® COVID-19 vaccine dose, he was diagnosed with palmoplantar pustular psoriasis and was started on 60mg of oral Prednisolone. Fundus examination revealed bilateral well-delineated whitish plaque-like macular lesions involving the fovea, sparing the peripapillary region in the RE (Figure 1a & e). Multimodal imaging including fluorescein angiography, indocyanine-green angiography, fundus autofluorescence and optical coherence tomography were consistent with PPM (Figure 1 & 2). Infective and auto-immune screen were all negative apart from a positive MPO-ANCA, prompting a rheumatology review which subsequently excluded any systemic vasculitis. Patient was monitored closely and his VA improved and stabilised with tapering regime of oral Prednisolone. To prevent relapse of PPM, patient was commenced on Mycophenolate Mofetil as a long-term steroid sparing immunosuppression. Conclusions : Our case demonstrated a likely inflammatory or autoimmune response affecting choriocapillaris driven by the COVID-19 vaccine and there may be a correlation between the two. The patient in our case portrayed features classical of PPM, which is a selective autoimmune vasculitis causing microinfarcts on choriocapillaris, resulting in focal choroidal hypoperfusion after the COVID-19 vaccine. (Figure Presented).
ABSTRACT
Objective: NA Background: Previous case reports have described 3 cases of autoimmune encephalitis and 1 case of new-onset refractory status epilepticus (NORSE) following COVID-19 viral vector vaccinations. However, no cases have been documented in association with COVID-19 mRNA vaccinations. We describe a case of NORSE after vaccination with Pfizer-BioNTech COVID-19 vaccine. Design/Methods: Case report. Results: A 56 year old healthy man presented with three days of fever, fatigue, and aphasia beginning 2 weeks after he received his first dose of the Pfizer-BioNTech COVID-19 vaccine. Video EEG showed temporally predominant seizures occurring independently bilaterally (right greater than left). Clinical seizures were characterized by head turn to the left and right hand movements. He then developed sustained right frontotemporal spike and slow wave activity consistent with non-convulsive status epilepticus. CSF demonstrated mild lymphocytic pleocytosis with WBC 16 cells/mm3, protein 24, glucose 76, and an opening pressure of 47. CSF bacterial and viral encephalitis panels, HSV, lyme, West Nile virus, and VDRL were all negative. Oligoclonal bands, paraneoplastic panel, and encephalopathy panel were negative. Systemic malignancy workup was negative. Initial MRI brain was unremarkable, but 1 week after symptom onset he developed bilateral hippocampal edema. The patient was empirically treated with broad spectrum antibiotics and antivirals which were later discontinued. Due to presumed diagnosis of autoimmune encephalitis, he was treated with high dose steroids, plasmapheresis, IVIG, and rituximab. He was treated with progressively escalating anti-seizure medications including midazolam, propofol, and ketamine continuous infusions and eventually stabilized on levetiracetam, lacosamide, phenobarbital, clobazam, zonisamide, oxcarbazepine, and perampanel. At the time of discharge, mental status had improved and aphasia resolved. Conclusions: To our knowledge, this is the first case of NORSE reported after Pfizer COVID-19 vaccination. While no test exists to definitively establish causality, these findings warrant further investigation of the possible association between COVID-19 vaccination and autoimmune encephalitis.
ABSTRACT
Increasing people's perception of their habitual face-touching behaviour and ameliorating their acknowledgment of self-inoculation as a medium of transmission may assist to curb the spread of novel coronavirus (COVID-19). On average, human beings generally touch their faces 23 times per hour. Therefore, hand hygiene is an essential preventive measure to stop the spread of COVID-19. This motivates to introduce an alert mechanis m using wearable technology that aims to alert a person whenever he/she brings his/her hands close to the face. The proposed face alert system is based upon deep learning technique to forecast hand movements followed by face touching and imparts sensory response to alert end-user to stop the face touching activities. The proposed system employs IMU to get features belonging to different hand movements resulting in face touching. The data can be effectively classified using CNN where the filters help in extracting temporal features from IMU data. The prediction model based upon CNN is developed with training data from four thousand eight hundred trials recorded from forty participants. The trained dataset of hand movements activities is collected during day-to-day activities, e.g., walking, sitting, etc. Results demonstrated a forecast accuracy of 90% is obtained with 550ms of IMU data. In a research study, the psychophysical experiment is conducted to compare the response time for sensational observation methods, e.g., auditory, visual and vibrotactile. It has been observed that the response time is remarkably higher for visual (VF) and auditory feedback (AF) in comparison to vibrotactile feedback (VTF). Moreover, the rate of success is analytically lesser for visual feedback compared to vibrotactile and auditory feedback. Practically, results indicate a prediction of the movement of hand, and timely generation of sensational response in less than a second, so that one does not touch the face, and thus curbing of the spread of COVID-19. © 2022 IEEE.