User activity recognition for energy saving in smart homes
Energy demand in typical home environments accounts for a significant fraction of the
overall consumption in industrialized countries. In such context, the heterogeneity of the …
overall consumption in industrialized countries. In such context, the heterogeneity of the …
Abnormal human activity recognition using SVM based approach
A Palaniappan, R Bhargavi… - … conference on recent …, 2012 - ieeexplore.ieee.org
Tele-health care applications have gained much attention in the field of ubiquitous
computing. With availability of affordable wearable sensors, it is possible to recognize …
computing. With availability of affordable wearable sensors, it is possible to recognize …
An ontology-based approach to ADL recognition in smart homes
IH Bae - Future Generation Computer Systems, 2014 - Elsevier
This paper presents a method for recognition of Activities of Daily Living (ADL) in smart
homes. Recognition of activities of daily living and tracking them can provide unprecedented …
homes. Recognition of activities of daily living and tracking them can provide unprecedented …
HHAR-net: H ierarchical H uman A ctivity R ecognition using Neural Net works
Activity recognition using built-in sensors in smart and wearable devices provides great
opportunities to understand and detect human behavior in the wild and gives a more holistic …
opportunities to understand and detect human behavior in the wild and gives a more holistic …
Improving pir sensor network-based activity recognition with pca and knn
RI Fakhruddin, M Abdurohman… - … & Applications (ICICyTA …, 2021 - ieeexplore.ieee.org
With the use of low-cost passive infrared (PIR) sensors in detecting movement, forming a
wireless sensor network (WSN) combined with activity recognition (AR), activities or …
wireless sensor network (WSN) combined with activity recognition (AR), activities or …
Activity discovery and detection of behavioral deviations of an inhabitant from binary sensors
J Saives, C Pianon, G Faraut - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The aim of this paper is to improve the autonomy of medically monitored patients in a smart
home instrumented only with binary sensors; overwatching the disease evolution, that can …
home instrumented only with binary sensors; overwatching the disease evolution, that can …
Assessing daily activity routines using an unsupervised approach in a smart home environment
When the mental acuity of older adults deteriorates (eg, dementia), irregular patterns
manifest within their activities of daily living (ADL), which renders an effective opportunity for …
manifest within their activities of daily living (ADL), which renders an effective opportunity for …
Learning multi-level features for sensor-based human action recognition
This paper proposes a multi-level feature learning framework for human action recognition
using a single body-worn inertial sensor. The framework consists of three phases …
using a single body-worn inertial sensor. The framework consists of three phases …
Identification of activities of daily living using sensors available in off-the-shelf mobile devices: Research and hypothesis
This paper presents a PhD project related to the identification of a set of Activities of Daily
Living (ADLs) using different techniques applied to the sensors available in off-the-shelf …
Living (ADLs) using different techniques applied to the sensors available in off-the-shelf …
Smart home technology: a new approach for performance measurements of activities of daily living and prediction of mild cognitive impairment in older adults
M Lussier, S Adam, B Chikhaoui… - Journal of …, 2019 - content.iospress.com
Background: Functional assessment is of paramount importance when mild cognitive
impairment is suspected, but common assessment tools such as questionnaires lack …
impairment is suspected, but common assessment tools such as questionnaires lack …