A survey of machine learning and meta-heuristics approaches for sensor-based human activity recognition systems
Abstract Human Activity Recognition (HAR) is an important research area that has profound
applications in healthcare, security and surveillance. Starting from traditional machine …
applications in healthcare, security and surveillance. Starting from traditional machine …
[HTML][HTML] A whale optimization algorithm–based cellular automata model for urban expansion simulation
Cellular automata (CA) has proved to be effective and efficient in conducting urban
expansion simulation. The generation of cell transition rules is a crucial step for a CA model …
expansion simulation. The generation of cell transition rules is a crucial step for a CA model …
Enhancing Kitchen Activity Recognition: A Benchmark Study of the Rostock KTA Dataset
With the global population aging, the demand for technologies facilitating independent
living, especially for those with cognitive impairments, is increasing. This paper addresses …
living, especially for those with cognitive impairments, is increasing. This paper addresses …
A human activity recognition framework for grossly labeled smartphone sensing data through combining genetic algorithm with multiple instance multiple label …
S Rajak, D Bose, A Saha, C Chowdhury - Multimedia Tools and …, 2022 - Springer
Abstract Human Activity Recognition through smartphones plays a crucial role in several
medical state-of-affairs like patient monitoring, eldercare, and post-surgery recovery. Most of …
medical state-of-affairs like patient monitoring, eldercare, and post-surgery recovery. Most of …
[PDF][PDF] Using hidden markov model to predict human actions with hybrid improved gravitational swarm intelligence search algorithm
In this paper, a new algorithm named improved gravitational particle swarm optimization
(iGPSO) is proposed to predict the human actions using hidden Markov model (HMM). Two …
(iGPSO) is proposed to predict the human actions using hidden Markov model (HMM). Two …