Actor-Critic

AI for Balance-Control Fall Detection of Elderly People

Artificial Intelligence for Balance Control and Fall Detection of Elderly People

Actor-Critic, ankle forces, Brain-Computer-Interface, central nervous system, Deep Learning, Functional Near-Infrared Spectroscopy, Functional Near-Infrared Spectroscopy (fNIRs), Gait Analysis, kinect sensors, model based, Model Based Algorithms, model free learning, Near-Infrared Spectroscopy, posture tracking, prefrontal cortex, Q-Learning, Reinforcement learning, Restricted Boltzmann Machine

Artificial Intelligence for Balance Control of Elderly People Designing automated balance control system for elderly people is one of the key project of our Compassionate AI Lab. Here, Dr. Amit Ray discuses about one of the recent project of AI using deep learning algorithms for automatic balance control of elderly people. He explains how machine learning algorithms can be used to study and improve the dynamical properties of postural stability of

Articles Artificial Intelligence General

Brain-Computer Interface and Compassionate AI to Serve Humanity

Actor-Critic, AI Lab, Brain-Computer-Interface, compassionate AI, intelligent sensors, Neuroprosthetic, non-invasive BCI based on EEG, PTSD, Reinforcement learning

Brain-Computer Interface and Compassionate AI The purpose of Compassionate AI is to remove the pain from the society and help humanity. Artificial Intelligence with Brain-Computer Interface (BCI) or Brain Machine Interface (BMI) is a fast-growing emerging technology for removing pains from the society. Here, Dr. Amit Ray explains how with the advancement of artificial intelligence and exploration of new mobile bio-monitoring devices, earphones, neuroprosthetic, wireless wearable sensors, it is possible