Most wearables are intended to be worn on certain parts of the body in order to offer tracking capabilities, but the Biostrap works differently by enabling you to wear it wherever you wish. Capable of being placed on the wrist, chest, stomach or shoe, the device will work to provide total health tracking in order to capture complex movements with as much accuracy as possible.
The Biostrap incorporates machine-learning algorithms in order to detect and analyze the movements you perform. The device can then provide feedback afterwards to let you know how you're performing in the gym. The device also boasts automatic cardio classification, which means that it will be able to know the kind of sport or exercise you're partaking in without you having to identify it.
What Makes This Trend Stand Out
- Body-worn Fitness Wearables
- Creating wearables that can be worn on any part of the body for total health tracking and analysis can disrupt the fitness industry.
- Machine Learning Algorithms in Wearables
- Integrating machine learning algorithms in wearables can provide more accurate and personalized data analysis for users and disrupt the healthcare industry.
- Automatic Sport or Exercise Classification
- Developing wearables that can automatically detect the kind of sport or exercise being performed can disrupt the fitness and healthcare industries through more seamless tracking and analysis of different activities.
Sectors Adopting This
- Fitness Industry
- The fitness industry can benefit from developing body-worn wearables that provide total health tracking and analysis with machine learning algorithms.
- Healthcare Industry
- Integrating machine learning algorithms in wearables can revolutionize the healthcare industry by providing more accurate and personalized data analysis for patients.
- Sports Industry
- Automatic sport or exercise classification technology in wearables can disrupt the sports industry through seamless tracking and analysis of different activities, providing more insights to athletes and coaches.
