23 citations · 41 across the 13 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
eess.SP2022
Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data
Fernando Moreno-Pino, María Martínez-García, Pablo M. Olmos +1
Psychiatric patients' passive activity monitoring is crucial to detect behavioural shifts in real-time, comprising a tool that helps clinicians supervise patients' evolution over t…
cs.MS2022★ 3 cited
PyHHMM: A Python Library for Heterogeneous Hidden Markov Models
Fernando Moreno-Pino, Emese Sükei, Pablo M. Olmos +1
We introduce PyHHMM, an object-oriented open-source Python implementation of Heterogeneous-Hidden Markov Models (HHMMs). In addition to HMM's basic core functionalities, such as di…