How AI and ML are Contributing in Wearable App Development

Wearables have become ingrained in our daily routines. The first digital hearing aids were introduced in 1980, and we could never have predicted that they would become such an integral part of our lives today.

There's no doubting that the wearable technology sector is booming. According to Statista, the wearable device market is currently valued at $53.2 billion and is expected to reach $ 73.27 billion by 2022.

This suggests that while there isn't a significant amount of money set aside for the market, the term "wearable devices" will soon be as common as the term "smartphone." Currently, the smartphone serves as the control panel for all wearable devices. It means that in order to construct a wearable, it must be connected to other devices and must be in close proximity to them. But, in the not-too-distant future, phones will be replaced by more ubiquitous connections to the web or perhaps our bodies, rather than being the hub for wearable gadget communication. In fact AI is taking over the business landscape, & will soon become inevitable.

We are currently at a phase in the evolution of wearables when hardware and software, in combination with AI development, can help people live better lives. In this blog, we'll look at how developers may utilise AI to improve the functionality of wearables by creating new form factors and experiences, as well as how to take advantage of this rapidly developing market while also keeping the wearable app development costs in mind.

According to studies, the wearable intelligence industry is expected to reach USD180 billion by 2025. This could provide opportunities for healthcare application development companies to create AI-enabled wearable applications for global markets. In the technological sector, artificial intelligence (AI) has long been popular.

AI development and Machine Learning integration research particular problem solving or reasoning challenges for practical wearables and Internet of Things (IoT) deployments. Visual perception, speech recognition, and decision-making are all features of healthcare mobility solutions.

But why do we need an AI engine in the first place if wearables and the Internet of Things (IoT) can function without it?

Because working in insights is the most valuable practice for any business.

ML and AI development are critical techniques for gaining insights. The data from a wearable would be worthless to both the manufacturer and the customer if it didn't have an AI engine. That is why wearable app companies are rapidly including AI engines into their wearable health apps and solutions. Furthermore, AI-assisted data mining is critical to the success of an intelligent healthcare platform that connects a variety of smartphones, websites, IoT devices, and wearables to collect data and return fascinating health insights.

AI has already permeated practically every facet of our everyday lives, from Apple's Siri to Google Voice Search, Google Brain, Google Translate, Xbox, Netflix, IBM's Watson, autonomous cars, email spam filtering, and credit card fraud detection, and our reliance on it is only expanding.

So, how can wearables and the Internet of Things benefit from AI and machine learning?

Telemedicine

Online medical appointments have already become a craze. Wearable app insights can be used to schedule online testing and medical appointments with medical practitioners at a health centre. The patient can notify their treating physician if an irregularity is discovered.

A doctor with AI intelligence is often a standalone neural network with a proprietary learning algorithm that can detect diseases faster than a human doctor. Through a self-learning module, the machine learning algorithm ensures that the programme allows for minimal errors and maximum detections.

Preventive Healthcare

Heart disease, diabetes, renal disease, arthritis, asthma, and other chronic ailments are the most obvious. You may monitor important patients, such as blood pressure, heart rate, and more, using Wearable and trackers for preventive disease, making it easier for clinicians to appropriately identify their patients. Patients can communicate with doctors via electronic media by continuously synchronising their medical information via the internet, allowing you to access your medical information with the touch of a fingertip.

Bluetooth Headphones

The AI-enabled Bluetooth Headphones are equipped with biosensors that monitor heart rate, elevation, motion, proximity, and touch, and can also be used as a fitness tracker. These headphones contain AI-based personal trainers that help you work out smarter by tracking your running, cycling, and other exercises in real time.

Medicare Monitoring

An AI-based doctor may recommend medication to you. The prescription is subsequently delivered to the wearable patient, who can use the integrated contactless payment system built in the consumable with the NFC chip to refer to or even order the medication. Even a user-friendly health app can remind you to take your medication.

Health & Fitness Tracking

Everything, including heart rate, sleep cycles, and a range of other biomarkers, may be tracked with wearable and health tracking devices. If a patient follows a therapeutic plan to strengthen his condition, such tools are effective. If that's the case, these apps will effectively show their development. For stress management, wearable healthcare gadgets that monitor blood pressure and pulse are available. These apps can also be used by the patient, who can request routine walking reminders, heart rate, blood pressure, blood sugar, and weight information.

Final Verdict

With new technologies emerging on a regular basis, software development companies are securing their positions in the mobile app market at breakneck pace. So, whether you're an entrepreneur, a small business owner, or a tech enthusiast, you'll need to keep up with these mobile app development trends if you want to carve out a space in the industry.

It's easy to get caught up with wearable and Internet of Things sensors, hardware, and communication protocols, but your solution's major differentiation will be the actionable intelligence it extracts from data.

Take the time to learn the truth about AI development and use what you've learned so far. You'll be ready to design a solid business strategy once you've gathered a formidable arsenal including the wearable app development cost. As a result, you have the ability to build a corporation with a higher valuation that will outperform the competition. Start putting AI's scale and power to work right now.