The modern-day innovation in technology has helped in making huge strides in almost every possible field and the fact that fitness and mental health have been the two most voguish matters of concern for everyone, how can it not be associated with the wonderful inventions and discoveries of technology.
Various devices like fit-bits, step trackers, heartbeat stimulators, etc. contribute towards recording and studying the fitness activities of an individual in daily life. Also, numerous mobile applications have been developed to provide similar stats and data. In today’s fast-moving world, a working individual barely finds time to devote to fitness routines. Hence, this intensifies the role of fitness devices which help them track the number of steps covered and the number of calories burnt in their normal daily routine itself. However, like every other discovery or invention of science, fitness devices also have a significant downside to it.
After a certain point of time, the fitness trackers and devices become quite predictable and inaccurate because of the inability to determine an individual’s mindset, mood, physique, etc. on different days and at different hours which eventually leads them inside a drawer or a cupboard. However, scientists and researchers from Northeastern University are developing multiple features and functions using machine learning and different algorithms which will help to resolve the issue with the current technology. They think adding multiple surveys and questions which are according to an individual’s data and daily life routine will help the device in a better understanding of the person’s current state of mind and mood which eventually will lead to more accurate and varying outputs to contribute in one’s healthy lifestyle. Taking input from the user about his/her eating routine, sleeping pattern, stress levels at work or even simply asking “How’s your day going?” at different points of time in a day will remarkably help the device to determine a person’s behaviour and hopefully change it by helping them lead a healthy lifestyle.
Currently, fitness devices may be less precise and inaccurate in giving outputs about our health and fitness but Northeastern University’s professors thoroughly believe that they will be a lot more useful to our coming generations.