Hand gesture is one of the methods used in sign language for non-verbal communication. It is most commonly used by deaf & dumb people who have hearing or speech problems to communicate among themselves or with normal people. Various sign language systems have been developed by many makers around the world but they are neither flexible nor cost effective for the end users. Hence in this paper introduced software which presents a system prototype that is able to automatically recognize sign language to help deaf and dumb people to communicate more effectively with each other or normal people. Pattern recognition and Gesture recognition are the developing fields of research. Being a significant part in nonverbal communication, hand gestures play a key role in our daily life.
Objective: We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) to observe the efficacy of yoga on insulin resistance in type 2 diabetes (T2D). Materials and methods: The present systematic review and meta-analysis were done following the PRISMA guidelines. Data were collected through specific keyword searches from eminent databases. The risk of bias in included studies was assessed, using the revised Cochrane risk-of-bias tool. Meta-analysis was performed using RevMan software. Forest plots were used to illustrate the study findings and meta-analysis results. Results: A total of six studies were finally included in this systematic review, where 375 participants were allocated to a yoga intervention with the control group, and the age range of participants was 15-75 years. In the yoga group compared to the control, there was a significant reduction in fasting blood glucose (FBG) by 33.02 mg/dL, post-prandial blood glucose (PPBG) by 62.54 mg/dL, fasting insulin by 4.95 µIU/mL and insulin resistance (HOMA-IR) by 2.81 in the meta-analysis. Conclusions: Regular yogic practice with oral hypoglycemic agents (OHA) have positive effects on insulin resistance compared to the control group (no regular exercise with OHA) in patients with type 2 diabetes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.