Context-aware human activity recognition (CAHAR) in-the-Wild using smartphone accelerometer
Y Asim, MA Azam, M Ehatisham-ul-Haq… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Smartphones are a promising platform for continuous monitoring of human behavior.
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …
A survey on the use of machine learning methods in context-aware middlewares for human activity recognition
Human activity recognition (HAR) essentially uses (past) sensor data or complex context
information for inferring the activities a user performs in his daily tasks. HAR has been …
information for inferring the activities a user performs in his daily tasks. HAR has been …
Sphere in a box: Practical and scalable eurvalve activity monitoring smart home kit
Non-invasive, environmental monitoring is being successfully utilised to improve health care
outcomes for patients while allowing them to more safely and comfortably live in their homes …
outcomes for patients while allowing them to more safely and comfortably live in their homes …
Using mobile cloud computing for developing context-aware multimedia applications
Mobile cloud computing (MCC) and context-aware computing are research topics with
growing evidence. The former seeks to leverage cloud computing features to improve the …
growing evidence. The former seeks to leverage cloud computing features to improve the …
Impact of Memory Control on Batch Learning in Human Activity Recognition Scenario in Comparison to Data Stream Learning
Abstract Human Activity Recognition (HAR) has gained attention in many studies in the
ubiquitous computing area. Due to its high demand in recent years, various researchers use …
ubiquitous computing area. Due to its high demand in recent years, various researchers use …
[PDF][PDF] Hypertuned Tree based Devising E-learning usability framework
M Asghar, M Ijaz, FH Jaskani - researchgate.net
The usability of the mobile e-learning app depends generally on functions such as
efficiency, effectiveness, learning, cognition, memory, etc. There is no tool or theory for …
efficiency, effectiveness, learning, cognition, memory, etc. There is no tool or theory for …
[PDF][PDF] Design and Development of Context Aware Abnormal Activity Recognition System for Elderly and Disabled Person Using ML/DL Approach
SS Shirsat, AR Surve - 2020 - academia.edu
Elderly and disabled person activity recognition in smart home is actively topic for getting to
changes in physical and behavioral profiles of person health. Different activity recognition …
changes in physical and behavioral profiles of person health. Different activity recognition …
A human activity recognition-aware framework using multi-modal sensor data fusion
E Kwon, H Park, S Byon, ES Jung… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Recent years, with smartphones and other pervasive devices the paradigm of situation-
recognition extended to IoT devices in home. Since IoT devices produce data that can help …
recognition extended to IoT devices in home. Since IoT devices produce data that can help …