Two-layer hidden Markov model for human activity recognition in home environments
Activities of Daily Livings (ADLs) refer to the activities that are carried out by an individual for
everyday living. Recognition of ADLs is key element for building intelligent and pervasive …
everyday living. Recognition of ADLs is key element for building intelligent and pervasive …
Activity recognition in smart homes
L Lu, C Qing-Ling, Z Yi-Ju - Multimedia Tools and Applications, 2017 - Springer
In recent years, activity recognition in smart homes is an active research area. It is an
important problem of Human Computer Interaction (HCI), and has many applications in HCI …
important problem of Human Computer Interaction (HCI), and has many applications in HCI …
Sensor-based human activity recognition in a multi-user scenario
Existing work on sensor-based activity recognition focuses mainly on single-user activities.
However, in real life, activities are often performed by multiple users involving interactions …
However, in real life, activities are often performed by multiple users involving interactions …
Online human activity recognition employing hierarchical hidden Markov models
P Asghari, E Soleimani, E Nazerfard - Journal of Ambient Intelligence and …, 2020 - Springer
In the last few years there has been a growing interest in Human activity recognition (HAR)
topic. Sensor-based HAR approaches, in particular, has been gaining more popularity …
topic. Sensor-based HAR approaches, in particular, has been gaining more popularity …
State-Space based Linear Modeling for Human Activity Recognition in Smart Space.
Recognition of human activity is a key element for building intelligent and pervasive
environments. Inhabitants interact with several objects and devices while performing any …
environments. Inhabitants interact with several objects and devices while performing any …
[HTML][HTML] Activity recognition using hybrid generative/discriminative models on home environments using binary sensors
Activities of daily living are good indicators of elderly health status, and activity recognition in
smart environments is a well-known problem that has been previously addressed by several …
smart environments is a well-known problem that has been previously addressed by several …
Human activity monitoring based on hidden Markov models using a smartphone
R San-Segundo, JD Echeverry-Correa… - IEEE Instrumentation …, 2016 - ieeexplore.ieee.org
This paper presents an human sensing (HS) system based on Hidden Markov Models
(HMMs) for classifying physical activities: walking, walking-upstairs, walking-downstairs …
(HMMs) for classifying physical activities: walking, walking-upstairs, walking-downstairs …
Accurate activity recognition in a home setting
A sensor system capable of automatically recognizing activities would allow many potential
ubiquitous applications. In this paper, we present an easy to install sensor network and an …
ubiquitous applications. In this paper, we present an easy to install sensor network and an …
On-line human activity recognition from audio and home automation sensors: Comparison of sequential and non-sequential models in realistic Smart Homes 1
Abstract Automatic human Activity Recognition (AR) is an important process for the provision
of context-aware services in smart spaces such as voice-controlled smart homes. This paper …
of context-aware services in smart spaces such as voice-controlled smart homes. This paper …
Layered hidden Markov models to recognize activity with built-in sensors on Android smartphone
YS Lee, SB Cho - Pattern Analysis and Applications, 2016 - Springer
Recently, activity recognition using built-in sensors in a mobile phone becomes an important
issue. It can help us to provide context-aware services: health care, suitable content …
issue. It can help us to provide context-aware services: health care, suitable content …