The population of older people in western nations are growing drastically. Independent lifestyle is their preference and this leads to fall instances often. Falls kind results severe health issues or sometimes causes deadly damages the elderly people. Considering problem, it highly important come up with discovery systems. A machine learning framework has been proposed regard which covers both ...

Human activity recognition (HAR) has vital applications in human–computer interaction, somatosensory games, and motion monitoring, etc. On the basis of human accelerate sensor data, through a nonlinear analysis time series, novel method for HAR that is based on non-linear chaotic features proposed this paper. First, C-C G-P algorithm are used to, respectively, compute optimal delay embedding di...