AI Fitness Tools Democratise Performance-Focused Workouts
Published 21 February 2024
2 min read
As we detail in The New Fitness Culture, exercise enthusiasts want to personalise their workouts as they strive for athletic achievement. Convenient tools leverage sophisticated tech – such as artificial intelligence (AI) and biometric analysis – to slot fitness into busy calendars and upgrade routines without the need for expensive personal trainers.
- Humango’s Coaching Assistant: US fitness app Humango’s recently launched AI coach Hugo takes training data from fitness trackers (such as activity and heartrate) to offer tailored workout programmes. Users can ask Hugo to customise their fitness plans, adapt their training schedules (due to injuries or sickness), and adjust a workout’s intensity. They can also ask for advice to improve performance and receive personalised feedback. For example, if a runner reports fatigue, Hugo may advise them to slow down or take an additional rest day to avoid overtraining.
- Alter’s Biometric Fitness Bundle: American training service and app Alter launched its biometric-based exercise system in February 2024. This tests users’ DNA to learn how exercise, nutrition and sleep affect their bodies. Based on this genetic data, a wellness adviser consults users on their health and fitness The company also offers a wearable which tracks activity, sleep and stress, and users can opt to train with Alter’s AI-powered smart mirror, which displays personalised workouts and corrects form.
- Lumin Fitness’s Virtual AI Coaches: Highlighted in Tech Redefines Luxury, Texas-based gym Lumin features virtual fitness coaches. Displayed on large LED screens in Lumin’s studio, the AI trainers offer contact-free expertise and support for people who don’t want to interact with real-life coaches (who might make them feel intimidated or unmotivated, for example). Gym-goers can select their AI trainer’s demeanour (strict, cheerful, laid back) as well as gender in Lumin’s app, while sensors behind the screens track users’ movement, form, and equipment use.