• Meet Parikh
• Prof Anjali Mahavar

A speedy improvement in the splendid wearable industry is making it dynamically fundamental to send customers' tendency of association (QoE) requirements to end customers. This paper endeavors to show the association between human experience and quality in the splendid wearable part. For this, the thoughts of nature of data (QLD) and nature of information (QoI) are used. While QLD is stressed over the precision and exactness of the data assembled by the wise wearable contraption. A theoretical investigation containing 40 individuals and 5 wearable devices is acted in a free-everyday climate to make the QoE model. Four unmistakable techniques are presented in this paper: we have proposed hand signal affirmation using OpenCV python.

Hand gesture recognition, OpenCV python, smart wearable devices.

"Review on Smart Wearable Devices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.a190-a193, August-2022, Available :http://www.jetir.org/papers/JETIR2208025.pdf

"Review on Smart Wearable Devices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppa190-a193, August-2022, Available at : http://www.jetir.org/papers/JETIR2208025.pdf