Fitness trackers often fail people with obesity by underestimating their energy burn, leading to discouraging results and misguided health data. A scientist’s frustrating experience in an exercise class with his mother-in-law where her effort wasn t reflected on the fitness leaderboard sparked a breakthrough. His team at Northwestern developed a new open-source smartwatch algorithm that accurately captures energy expenditure for individuals with obesity, rivaling gold-standard lab equipment and paving the way for more inclusive, empowering health tracking.
Fitness trackers often fail people with obesity by underestimating their energy burn, leading to discouraging results and misguided health data. A scientist’s frustrating experience in an exercise class with his mother-in-law where her effort wasn t reflected on the fitness leaderboard sparked a breakthrough. His team at Northwestern developed a new open-source smartwatch algorithm that accurately captures energy expenditure for individuals with obesity, rivaling gold-standard lab equipment and paving the way for more inclusive, empowering health tracking. Fitness trackers often fail people with obesity by underestimating their energy burn, leading to discouraging results and misguided health data. A scientist’s frustrating experience in an exercise class with his mother-in-law where her effort wasn t reflected on the fitness leaderboard sparked a breakthrough. His team at Northwestern developed a new open-source smartwatch algorithm that accurately captures energy expenditure for individuals with obesity, rivaling gold-standard lab equipment and paving the way for more inclusive, empowering health tracking.