Video-based abnormal human behavior recognition—A review
OP Popoola, K Wang - … on Systems, Man, and Cybernetics, Part …, 2012 - ieeexplore.ieee.org
Modeling human behaviors and activity patterns for recognition or detection of special event
has attracted significant research interest in recent years. Diverse methods that are abound …
has attracted significant research interest in recent years. Diverse methods that are abound …
Fall detection-principles and methods
Fall detection of the elderly is a major public health problem. Thus it has generated a wide
range of applied research and prompted the development of telemonitoring systems to …
range of applied research and prompted the development of telemonitoring systems to …
Deep learning for fall detection: Three-dimensional CNN combined with LSTM on video kinematic data
N Lu, Y Wu, L Feng, J Song - IEEE journal of biomedical and …, 2018 - ieeexplore.ieee.org
Fall detection is an important public healthcare problem. Timely detection could enable
instant delivery of medical service to the injured. A popular nonintrusive solution for fall …
instant delivery of medical service to the injured. A popular nonintrusive solution for fall …
A survey on activity detection and classification using wearable sensors
Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
Evaluation of accelerometer-based fall detection algorithms on real-world falls
Despite extensive preventive efforts, falls continue to be a major source of morbidity and
mortality among elderly. Real-time detection of falls and their urgent communication to a …
mortality among elderly. Real-time detection of falls and their urgent communication to a …
Robust video surveillance for fall detection based on human shape deformation
C Rougier, J Meunier, A St-Arnaud… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Faced with the growing population of seniors, developed countries need to establish new
healthcare systems to ensure the safety of elderly people at home. Computer vision provides …
healthcare systems to ensure the safety of elderly people at home. Computer vision provides …
The smart thermostat: using occupancy sensors to save energy in homes
Heating, ventilation and cooling (HVAC) is the largest source of residential energy
consumption. In this paper, we demonstrate how to use cheap and simple sensing …
consumption. In this paper, we demonstrate how to use cheap and simple sensing …
RF-based fall monitoring using convolutional neural networks
Falls are the top reason for fatal and non-fatal injuries among seniors. Existing solutions are
based on wearable fall-alert sensors, but medical research has shown that they are …
based on wearable fall-alert sensors, but medical research has shown that they are …
Human fall detection in surveillance videos using fall motion vector modeling
Representation of spatio-temporal properties of human body silhouette and human-to-
ground relationship, significantly contribute to the fall detection process. So, we propose an …
ground relationship, significantly contribute to the fall detection process. So, we propose an …
Mafia: A maximal frequent itemset algorithm for transactional databases
We present a new algorithm for mining maximal frequent itemsets from a transactional
database. Our algorithm is especially efficient when the itemsets in the database are very …
database. Our algorithm is especially efficient when the itemsets in the database are very …