Human activity recognition in artificial intelligence framework: a narrative review
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …
acquisition devices such as smartphones, video cameras, and its ability to capture human …
Deep learning for human activity recognition on 3d human skeleton: survey and comparative study
Human activity recognition (HAR) is an important research problem in computer vision. This
problem is widely applied to building applications in human–machine interactions …
problem is widely applied to building applications in human–machine interactions …
Gamified mobile sensing storytelling application for enhancing remote cultural experience and engagement
SN Tan, KH Ng - International Journal of Human–Computer …, 2024 - Taylor & Francis
Previous studies have highlighted a lack of practical strategies in mobile learning that
effectively enhance learners' agency with mobile technology. The paper aims to engage and …
effectively enhance learners' agency with mobile technology. The paper aims to engage and …
Toward a sustained recovery of the lodging sector: a management path to lessen the Corona Variants upshots
The lodging industry is an important source of national income being a main ingredient for
tourism, also, as it contributes to solving the problem of unemployment. Predominantly, the …
tourism, also, as it contributes to solving the problem of unemployment. Predominantly, the …
Attention-aware recognition of activities of daily living based on eye gaze tracking
B Madhusanka, S Ramadass, P Rajagopal… - Internet of Things for …, 2022 - Springer
Eye movements are essential in comprehending the environment. Users' attention may be
directed via eye gazing, which can enhance Human–Computer Interaction (HCI). Gaze …
directed via eye gazing, which can enhance Human–Computer Interaction (HCI). Gaze …
An Analysis of ML-Based Outlier Detection from Mobile Phone Trajectories
FM Pereira, RC Sofia - Future Internet, 2022 - mdpi.com
This paper provides an analysis of two machine learning algorithms, density-based spatial
clustering of applications with noise (DBSCAN) and the local outlier factor (LOF), applied in …
clustering of applications with noise (DBSCAN) and the local outlier factor (LOF), applied in …
A mini-survey and feasibility study of deep-learning-based human activity recognition from slight feature signals obtained using privacy-aware environmental sensors
H Madokoro, S Nix, H Woo, K Sato - Applied Sciences, 2021 - mdpi.com
Numerous methods and applications have been proposed in human activity recognition
(HAR). This paper presents a mini-survey of recent HAR studies and our originally …
(HAR). This paper presents a mini-survey of recent HAR studies and our originally …
The Role of Socially Aware Networking in Supporting 6G IoT
RC Sofia - 6G Visions for a Sustainable and People-centric Future, 2023 - taylorfrancis.com
Large-scale IoT environments have been growing fast via the advancement of 5G, 6G,
advanced wireless standards, associated with advancements in multiple other technological …
advanced wireless standards, associated with advancements in multiple other technological …
A Review of Multidata Human Activity Recognition
Human Activity Recognition (HAR) has become one of the most known and prominent
research area in a variety of sectors during the last few decades. As a result, HAR can be …
research area in a variety of sectors during the last few decades. As a result, HAR can be …