Smart Yoga Assistant: SVM-based Real-time Pose Detection and Correction System

SVM-based Real-time Pose Detection and Correction System refer to a computer system that uses machine learning techniques to detect and correct a person's yoga pose in real-time. This system can act as a virtual yoga assistant, helping people improve their yoga practice by providing immediate feedback on their form and helping to prevent injury. This paper presents a yoga tracker and correction system that uses computer vision and machine learning algorithms to track and correct yoga poses. The system comprises a camera and a computer vision module that captures images of the yoga practitioner and identifies the poses being performed. The machine learning module analyzes the images to provide feedback on the quality of the poses and recommends corrections to improve form and prevent injuries. This paper proposed a customized support vector machine (SVM) based real-time pose detection and correction system that suggests yoga practices based on specific health conditions or diseases. Paper aims to provide a reliable and accessible resource for individuals seeking to use yoga as a complementary approach to managing their health conditions. The system also includes a practitioner’s interface that enables practitioners to receive personalized recommendations for their yoga practice. The system is developed using Python and several open-source libraries, and was tested on a dataset of yoga poses. The hyper parameter gamma tuned to optimize the classification accuracy on our dataset produced 87% which is better than other approaches. The experiment results demonstrate the effectiveness of the system in tracking and correcting yoga poses, and its potential to enhance the quality of yoga practice

Real-Time Vehicle Accident Recognition from Traffic Video Surveillance using YOLOV8 and OpenCV

The automatic detection of traffic accidents is a significant topic in traffic monitoring systems. It can reduce irresponsible driving behavior, improve emergency response, improve traffic management, and encourage safer driving practices. Computer vision can be a promising technique for automatic accident detection because it provides a reliable, automated, and speedy accident detection system that can improve emergency response times and ultimately save lives. This paper proposed an ensemble model that uses the YOLOv8 approach for efficient and precise event detection. The model framework's robustness is evaluated using YouTube video sequences with various lighting circumstances. The proposed model has been trained using the open-source dataset Crash Car Detection Dataset, and its produced precision, recall, and mAP are 93.8% and 98%, 96.1%, respectively, which is a significant improvement above the prior precision, recall, and mAP figures of 91.3%, 87.6%, and 93.8%. The effectiveness of the proposed approach in real-time traffic surveillance applications is proved by experimental results using actual traffic video data

A Comprehensive Review of Sentiment Analysis on Indian Regional Languages: Techniques, Challenges, and Trends

Sentiment analysis (SA) is the process of understanding emotion within a text. It helps identify the opinion, attitude, and tone of a text categorizing it into positive, negative, or neutral. SA is frequently used today as more and more people get a chance to put out their thoughts due to the advent of social media. Sentiment analysis benefits industries around the globe, like finance, advertising, marketing, travel, hospitality, etc. Although the majority of work done in this field is on global languages like English, in recent years, the importance of SA in local languages has also been widely recognized. This has led to considerable research in the analysis of Indian regional languages. This paper comprehensively reviews SA in the following major Indian Regional languages: Marathi, Hindi, Tamil, Telugu, Malayalam, Bengali, Gujarati, and Urdu. Furthermore, this paper presents techniques, challenges, findings, recent research trends, and future scope for enhancing results accuracy

Compare Outcomes Of Single Stage Vs Two Stage Urethroplasty For Panurethral Strictures Including Pre-Operative And Post-Operative Course

Aim: The aim of the present study was to compare outcomes of single stage vs two stage urethroplasty for panurethral strictures including pre-operative and post-operative course. Methods: The Observational study was conducted at Dr. D.Y. Patil Medical College and Research Centre, Pimpri for the period of 2 years. The study was conducted in 40 patients randomly dividing into two groups, 20 patients underwent single stage urethroplasty and 20 underwent two staged urethroplasty with or without buccal mucosal graft urethroplasty based on size of urethral plate. Results: In the present study, majority of the patients belonged to 41-50 years age group followed by 31-40 years age group and it was found that age groups were not statistically significant. Majority of the patients had Balanitis xerotica obliterans (LS) etiology followed by Post instrumentation/catheter and the results were not statistically significant. Majority of the patients had 13-15 cms length of stricture. In the present study, 12 and 16 were narrow external uretheral meatus in single and two stage respectively. In the two stage, Johanson’s urethroplasty procedure was done and in single stage, Kulkarni’s full length dorsal onlay BMG urethroplasty procedure was done. In single and two stage, Urethrocutaneous Fistula and Epididymo-orchitis complications were noted. In single stage, success was noted in 16 patients and in two stage, success was noted in 17 patients. Conclusion: The single stage repair in patients with LS had good results with less re-stricture rates. The use of BMG as a substitution in single stage repair had re-stricture rates compared to flaps substitution. The two-stage repair should be limited to complex urethral strictures, failed urethroplasty and obliterated urethral stricture urethral caliber is less than 6F

Environmentally Benign Protocol for the Synthesis of 1,2-dihydro-1-aryl naph- tho [1,2-e] [1,3] oxazine-3-one Derivatives

Abstract: 1,2-dihydro-1-aryl naphtho [1,2-e] [1,3] oxazine-3-one derivatives have been synthesized via one-pot condensation of aromatic aldehyde, β-naphthol and urea using cellulose sulfuric acid (CSA) as catalyst in solvent free condition under microwave irradiation. CSA has efficiently catalyzed the cyclocondensation and enhanced the product yields by reducing reaction time. The uniqueness of CSA is that it is isolable after the reaction and reusable

Evaluation of stone volume and its relationship with surgical outcomes in patients with staghorn calculi

Introduction: Urolithiasis is one of the most common renal diseases with a significant burden on health-care system worldwide. Here, we evaluated the stone volume and its relationship with duration of operation, blood loss, and total stone clearance in patients with staghorn calculi. Materials and Methods: This was a prospective, single-center study conducted from October 2015 to September 2017. Patients of either sex aged more than 18 years of age with a confirmed diagnosis of staghorn calculus were eligible to participate in the study. Eligible patients were divided into three groups based on stone volume (assessed by three-dimensional computed tomography): Group 1 (≤5000 mm3), Group 2 (>5000 to ≤20,000 mm3), and Group 3 (>20,000 mm3). Results: A total of 85 patients were enrolled in the study (Group 1, n = 9; Group 2, n = 66; and Group 3, n = 10). The mean age was 43.68 years, and 62.4% of patients were male. The mean operative time increased significantly from Groups 1–3, (31.67, 60.14, and 92.30 min, respectively). The mean pre- and postoperative hematocrit was highest in Group 3 (2.82%) (P < 0.0001). Overall, the correlation between stone volume and operative time and difference in hematocrit showed a positive relationship. A total of five patients had residual calculus, and only four patients reported complications. Conclusions: The results showed that patients with larger stone volume need more operative time and may have more blood loss

Does urodynamics study help in evaluation and prognosis of treatment in benign prostatic hyperplasia with diabetes mellitus?

Aims: The aim is to study the clinical significance of urodynamics study (UDS) in patients of benign prostatic hyperplasia (BPH), with and without diabetes mellitus (DM) and to predict the outcome of surgical depending on UDS findings. Materials and Methods: A total of 120 BPH patients were studied and divided into two groups, BPH with DM and without DM. Initial evaluation, diagnostic tests, and urodynamic examination were done in all patients, and results were statistically analyzed. Results: There was no significant difference of age and prostate volume in both groups (P > 0.05), but there was a significant increase in symptom score in patients of BPH associated with DM (P < 0.05). Bladder outlet obstruction (BOO) was found in majority of patients in our groups (96.66%) with good detrusor function. Out of 120 patients, 6 patients (2 patient in BPH group and 4 patients in BPH with DM group) had detrusor underactivity (DU). There was a significant difference in the International Prostate Symptom Score, quality of life, peak flow rate, and postvoid residual urine, pre- to post-operatively in each group (P < 0.05). Out of the 6 patients who had DU, 4 patients (1 patient in BPH group and 3 patients in BPH with DM group) showed improvement in their flow rate and symptom score. Conclusion: DM in cases of BPH patients is not the prominent factor in deciding surgical treatment. It is the severity of BOO which determines the treatment and its outcome. UDS is an invasive and costly test and does not appear to be mandatory in clinically significant BPH even if associated with DM