AI based wearables for healthcare applications: A survey of smart watches

In many respects, the Internet of Things has changed our lives. Everything around us appears to be growing more customized and intelligent. Artificial Intelligence (AI) pushes the limit even further by allowing gadgets to change the way we think about our health and well-being by providing helpful information. This article is a systematic examination of the history of AI-based wearables that have been developed or deployed specifically for healthcare applications. The literature review reveals the utilization of smart watches for the early detection of various kinds of diseases, and also alerts the users (and/or other beneficiaries) in case of detected anomalies. By allowing self-monitoring of personal activity, getting feedback based on activity metrics, conducting in-person surveys to identify patterns of behavior, and facilitating bi-directional communication with health care providers and household members, smart watches have the ability to improve daily health. Smart watches, on the other hand, are a new technology, and research into them is still in its early stages. Here, we utilized IEEE Xplore, EBSCO, SCOPUS, ACM and PubMed repositories to perform an in-depth review of smart watch research that involved people in their utilization patterns. From the studies that were included based on demographics, AI algorithms, device characteristics, watch applications and techniques were extracted. The valuation of every article was done, in the context of highlights pertinent to the technology of the smart watch, that is, type, size, settings, populace type, and application of each article. Twenty-five articles were selected from 1,391 having a direct correlation with medical applications. These applications included action checking, constant sickness self-administration, nursing, and medical care training. Mostly, the accelerometer and inertial sensors were used to clarify proactive tasks. The majority of smart watches utilizing AI algorithms have been considered as a part of the study, which helps you to manage chronic diseases on your own. The focus on different health concerns, whose symptoms are easy to ascertain via inertial sensors, like seizures and disturbance in speed, has been the target of these particular applications. Since 2014, consumer-grade smart watches have rapidly permeated the health research domain. All in all, despite the fact that smart watches show promise in medical care, a huge examination of much bigger populaces is important to d