AI in the Fitness industry: revamping the home workouts
The global pandemic of the coronavirus has shaken up almost every market segment, affecting new consumer habits, choking whole markets, and spurring innovation in others. The fitness industry has changed dramatically as housebound customers adjust to life without gyms.
Gym owners have reported cancellation orders, a decrease in revenues, and a decrease in package repurchases in 2020. Many gyms have closed due to the high cost of rent and wages and a lack of sales. Hundreds of thousands of jobs have been lost. Many fitness trainers and support staff were sent on unpaid or reduced-pay leave.
Like any other company, gyms and exercise studios could only prosper during the lockdown by growing their digital footprint. Many began providing interactive virtual classes courses, allowing members to participate from the comfort of their own homes. People are gradually looking to apps for assistance with their health and fitness issues. According to a survey, fitness apps rose by almost 50% in the first half of 2020. Many new workout applications, gym management tools, accessories, and wearables are hitting the market, causing a lot of excitement. According to a new study published by Research N Reports, the global fitness technology industry is expected to expand from $17.9 billion in 2019 to $62.1 billion by 2025.
Role of AI in the Fitness industry:
The introduction of artificial intelligence is accelerating the modernization of the health and wellness industry at an exponential pace. This technology is assisting people in staying fit and stable by making exercise equipment, appliances, wearables, and smartphone apps smarter. AI is playing a significant role in the fitness sector, from assisting companies in this field in developing their marketing and sales campaigns to assisting individuals in reshaping their daily behaviours.
One may pause to wonder how AI has become such a game-changer. Now, artificial intelligence is being used to make at-home workouts simpler, more intimate, and as similar to an in-studio experience as possible. A.I. is being used by innovators in two ways: form-adjusting technologies through software and pieces of workout equipment, and understanding your activity and recovery habits to make customized suggestions. In reality, AI has made its way into fitness equipment that can communicate with your smartwatches and smartphones. The aim of AI in fitness is to assist customers in being smarter and healthier.
The advantages of AI in fitness are immense. Here are some of the most recent fitness industry trends.
1. AI-Based personal fitness trainer:
Fitness apps have gained a lot of popularity in recent months. Sparing time to hit a gym and hire a personal trainer will cost you an arm and a leg in this fast-paced and hectic lifestyle. We are not joking! Personal trainers with extensive experience can not be affordable to all. However, exercise apps combined with artificial intelligence are ideal for all those who want to accomplish their fitness goals. What’s more exciting is that the AI personal trainers behave like human trainers; indeed, they teach you the proper workout pose. You may also get input on the body posture during an exercise in a one-on-one environment through assistants like Zenia.
“Zenia is an AI-powered personal yoga assistant that analyzes body motions, tracks progress, and offers real-time feedback on asana results to its users. It analyzes body posture and says corrections by voice commands using the front camera of its user’s computer.”
The engine powering the AI capability:
AI-based personal trainers are implemented using Deep learning enabled Computer Vision techniques. The model is trained on images annotated using keypoint/ landmark annotation on a tool like Labellerr. The algorithm is fed rich labelled images of correct and incorrect postures, the different forms of workout exercises, and a pose detection/ estimation model is trained. The models are then served through an application to be used on an edge device like a smartphone.
Explore Keypoint Annotation on Labellerr through this video:
2. AI-powered Diet planning:
AI-powered wellness apps also provide you with customized fitness and lifestyle plans. The trainer built into those applications recommends workout routines based on your dietary habits, current health level, fitness objectives. The use of AI in exercise applications adds benefit to your dieting and meal preparation efforts. If you want to lose weight or meet a particular health target, this AI-powered diet planning feature will help. The app’s self-adjusting diet algorithms handle everything from keeping track of your success to making weekly diet changes. It operates based on data collected over a specific period. FitGenie, a calorie counter app, is an excellent example of a wellness app that provides AI-driven diet recommendations.
The AI model training:
The AI discussed here uses recommendation algorithms to suggest dietary changes. Building recommendation engines may erupt out as a herculean task if not for the right and rich labelled data. Platforms like Labellerr provide an extensive list of annotation facilities on a variety of data types like entity extraction from textual data, classification annotation on video data, audio classification and transcription labelling for the seamless training of your Artificial Intelligence models.
3. Smart Fitness Wearables
Wearables get better as artificial intelligence improves; in addition to gathering fitness data, these wearables can also detect erratic heartbeats and diabetes symptoms. It will also help you monitor your workout time, calories burned, and other data. Smart wearables are intended to keep track of how you’ve progressed or how much time you’ve spent exercising. Using the devices, you can conveniently share this information with your coaches. Soon, the gym can act as a virtual assistant, allowing it to give even more precise guidance to its participants. For example, it will advise you about the number of reps you can do.
How Can I benefit from this?
Artificial intelligence improves everything. AI and wellness tend to be inextricably intertwined when it comes to fitness applications. It has the potential to greatly empower the app while still increasing interaction. Increased participation, without a doubt, leads to increased sales. Furthermore, creating an AI-powered fitness framework with specialized features will provide users with a slew of advantages. So, if you want to get into the fitness business, try AI-powered fitness app development. For all your data and model API requirements leverage Labellerr to its full potential.
Experience the truly automated machine learning experience with Labellerr’s complete ML suite. Just plug in your data via a range of connectors as FTP, Local storage, Google Drive, AWS S3, Azure Blob etc.
Allow our inbuilt Auto ML feature to suggest annotations based on your requirement. Leverage the Auto-label feature to annotate your data with 10x speed and save crucial man-hours. Get a list of confidence scores of the assigned labels and verify only those with a low score.
Connect Labellerr to the Cloud-Based Compute service of your choice with assured data privacy and train your machine learning models on the go. Without the hustle of downloading the data, Service-specific data conversion formats, Data Leakage to name a few.
Visit our website and mention your use case in brief and our customer engineer will contact you and help you prepare the plan and get you running on a trial with us to validate.