Human action recognition in smart living services and applications: context awareness, data availability, personalization, and privacy

G Diraco, G Rescio, A Caroppo, A Manni, A Leone - Sensors, 2023 - mdpi.com
Smart living, an increasingly prominent concept, entails incorporating sophisticated
technologies in homes and urban environments to elevate the quality of life for citizens. A …

Less is more: Efficient behavioral context recognition using Dissimilarity-Based Query Strategy

A Akram, AA Farhan, A Basharat - Plos one, 2023 - journals.plos.org
With the advancement of ubiquitous computing, smartphone sensors are generating a vast
amount of unlabeled data streams ubiquitously. This sensor data can potentially help to …

In-depth analysis of design & development for sensor-based human activity recognition system

NA Choudhury, B Soni - Multimedia Tools and Applications, 2023 - Springer
Abstract Human Activity Recognition (HAR) has gained much attention since sensor
technology has become more advanced and cost-effective. HAR is a process of identifying …

A framework for daily living activity recognition using fusion of smartphone inertial sensors data

S Khan, SMA Shah, SH Noorani… - 2023 4th …, 2023 - ieeexplore.ieee.org
Recent years have seen rapid advancements in the human activity recognition field using
data from smart sensor devices. A wide variety of real-world applications can be found in …

A Study on the Influence of Sensors in Frequency and Time Domains on Context Recognition

P de Souza, D Silva, I de Andrade, J Dias, JP Lima… - Sensors, 2023 - mdpi.com
Adaptive AI for context and activity recognition remains a relatively unexplored field due to
difficulty in collecting sufficient information to develop supervised models. Additionally …

Identification of human activity and associated context using smartphone inertial sensors in unrestricted environment

SH Noorani, A Raheel, S Khan… - … and Digital Systems …, 2023 - ieeexplore.ieee.org
Smartphones are increasing ubiquitously due to the need and demand in the modern era.
The world is transmuting into a global village with the cumulation of smart devices …

Biosensor-Based Multimodal Deep Human Locomotion Decoding via Internet of Healthcare Things

M Javeed, M Abdelhaq, A Algarni, A Jalal - Micromachines, 2023 - mdpi.com
Multiple Internet of Healthcare Things (IoHT)-based devices have been utilized as sensing
methodologies for human locomotion decoding to aid in applications related to e-healthcare …

Deep Context Model (DCM): dual context-attention aware model for recognizing the heterogeneous human activities using smartphone sensors

P Kumar, S Suresh - Evolving Systems, 2024 - Springer
Abstract Human Activity Recognition (HAR) using smartphone sensors has been identified
as a significant emerging research domain. Its application areas exhibit the performance …

Human Activity Recognition by the Image Type Encoding Method of 3-Axial Sensor Data

C Kim, W Lee - Applied Sciences, 2023 - mdpi.com
HAR technology uses computer and machine vision to analyze human activity and gestures
by processing sensor data. The 3-axis acceleration and gyro sensor data are particularly …

Fuzzy FCA-based Elderly Activity Recognition

A Ghannem, E Francis, H Nabli… - … on Computer and …, 2023 - ieeexplore.ieee.org
Nowadays, monitoring systems are used to ensure elderly people are safe at home. New
approaches consist of developing automatic activity monitoring systems in smart homes …