Seniors

This clinical trial aims to evaluate the effectiveness of an artificial intelligence of things (AIoT)-based exercise system for seniors. Participants will undergo a 12-week AIoT-based cycle ergometer training program. Physical fitness and functional performance will be assessed at baseline and after completion of the intervention. Throughout the intervention, exercise-related data, including exercise duration, workload, heart rate, oxygen consumption, perceived exertion, and facial expressions, will be continuously and simultaneously collected for analysis.

The purpose of this observational study is to test a shoe mounted gait monitoring device that was refined with the input of older adults and assess the efficacy of the refinements through a series of tests that involve walking with and without the device.

The goal of this clinical trial is to determine the effect of maximal mental effort combined with low-intensity resistance training on strength and neuromuscular function in older adults. The main questions it aims to answer are: * Does low-intensity resistance training in combination with maximal mental effort increase strength more than low intensity resistance training alone? * Does low-intensity resistance training in combination with maximal mental effort improve neuromuscular function more than low intensity resistance training alone? Participants will be randomly assigned to 1 of 3 groups: * Low intensity resistance training * Low intensity resistance training with maximal mental effort * Control Researchers will compare groups to determine differences in changes in strength, neuromuscular function, and body composition.

The aim of the project is to verify the usability of a computer program for automatic evaluation of the Box and Block Test performed by seniors aged 65 and over and to determine whether it is more advantageous to use it in clinical practice compared to the usual manual evaluation of the Box and Block Test by an occupational therapist.