An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition.
Li LiuYongzhong YangLakshmi Narasimhan GovindarajanShu WangBin HuLi ChengDavid S. RosenblumPublished in: CoRR (2017)
Keyphrases
- generative model
- activity recognition
- human activities
- posterior probability
- probabilistic model
- human activity recognition
- bayesian framework
- action recognition
- accelerometer data
- wearable sensors
- prior knowledge
- markov chain monte carlo
- fully bayesian
- em algorithm
- maximum likelihood
- posterior distribution
- smart home
- sensory data
- latent dirichlet allocation
- expectation maximization
- topic models
- semi supervised
- activities of daily living
- training data