Continuous prediction of human joint mechanics using emg signals: A review of model-based and model-free approaches
SP Sitole, FC Sup - IEEE Transactions on Medical Robotics …, 2023 - ieeexplore.ieee.org
This paper reviews model-based and model-free approaches for continuous prediction of
human joint motion using surface electromyography (EMG) signals. The review focuses on …
human joint motion using surface electromyography (EMG) signals. The review focuses on …
[图书][B] Plan, activity, and intent recognition: Theory and practice
Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …
Learning multi-granular worker intentions from incomplete visual observations for worker-robot collaboration in construction
Construction is often considered a dangerous and labor-intensive industry, with safety and
workforce shortages plaguing the industry globally. Owing to its flexibility, Worker-Robot …
workforce shortages plaguing the industry globally. Owing to its flexibility, Worker-Robot …
[PDF][PDF] Goal recognition design with stochastic agent action outcomes
Abstract Goal Recognition Design (GRD) problems involve identifying the best ways to
modify the underlying environment that the agents operate in, typically by making a subset of …
modify the underlying environment that the agents operate in, typically by making a subset of …
[PDF][PDF] New Metrics and Algorithms for Stochastic Goal Recognition Design Problems.
Abstract Goal Recognition Design (GRD) problems involve identifying the best ways to
modify the underlying environment that agents operate in, typically by making a subset of …
modify the underlying environment that agents operate in, typically by making a subset of …
Context-based bayesian intent recognition
R Kelley, A Tavakkoli, C King… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
One of the foundations of social interaction among humans is the ability to correctly identify
interactions and infer the intentions of others. To build robots that reliably function in the …
interactions and infer the intentions of others. To build robots that reliably function in the …
A multi-modal perception based assistive robotic system for the elderly
C Mollaret, AA Mekonnen, F Lerasle, I Ferrané… - Computer Vision and …, 2016 - Elsevier
In this paper, we present a multi-modal perception based framework to realize a non-
intrusive domestic assistive robotic system. It is non-intrusive in that it only starts interaction …
intrusive domestic assistive robotic system. It is non-intrusive in that it only starts interaction …
Intention based comparative analysis of human-robot interaction
M Awais, MY Saeed, MSA Malik, M Younas… - IEEE Access, 2020 - ieeexplore.ieee.org
Human-robot interaction is inevitable due to the increase of the autonomous intelligent
machines in the human vicinity. The autonomous machines should synchronize with the …
machines in the human vicinity. The autonomous machines should synchronize with the …
Game-theoretic goal recognition models with applications to security domains
Motivated by the goal recognition (GR) and goal recognition design (GRD) problems in the
artificial intelligence (AI) planning domain, we introduce and study two natural variants of the …
artificial intelligence (AI) planning domain, we introduce and study two natural variants of the …
Hidden markov modeling of human normal gait using laser range finder for a mobility assistance robot
XS Papageorgiou, G Chalvatzaki… - … on Robotics and …, 2014 - ieeexplore.ieee.org
For an effective intelligent active mobility assistance robot, the walking pattern of a patient or
an elderly person has to be analyzed precisely. A well-known fact is that the walking …
an elderly person has to be analyzed precisely. A well-known fact is that the walking …