Predictive model for the identification of activities of daily living (ADL) in indoor environments using classification techniques based on Machine Learning.
Johanna García-RestrepoPaola Patricia Ariza-ColpasAlvaro Agustín Oñate-BowenEydy del Carmen Suarez-BrievaMiguel Urina-TrianaEmiro De la Hoz-FrancoJorge Luis Díaz MartinezShariq Aziz ButtDiego Molina-EstrenPublished in: FNC/MobiSPC (2021)
Keyphrases
- activities of daily living
- indoor environments
- predictive model
- fall detection
- machine learning
- mobile robot
- decision trees
- activity recognition
- historical data
- path planning
- artificial neural networks
- prediction model
- neural network
- robotic systems
- smart home
- machine learning algorithms
- machine learning methods
- ambient assisted living
- data mining
- assistive technology
- model selection
- probabilistic model
- older adults
- support vector machine
- classification rules
- training data
- classification models
- computer vision
- learning algorithm
- smart environments
- genetic algorithm
- computational intelligence
- real time
- data mining techniques