Results 71 to 80 of about 7,481,837 (104)

Neutrosophic Topological Framework for Uncertainty Management in Smartphone Data Extraction Applications [PDF]

مجلة العلوم التجارية والبيئية
The neutrosophic topological framework is proposed for smartphone data extraction, considering inherent ambiguity and uncertainty. This approach incorporates neutrosophic membership degrees (Truth, Indeterminacy, and Falsity) to handle uncertainty in ...
Ramy Abou Alzahab, Amr Ismail, Saied Helemy Abd El khalek, H. M. Albakry, A. A. Salama   +4 more
doaj   +1 more source

Activity recognition using binary tree SVM [PDF]

, 2014
This paper presents an effective classification method based on Support Vector Machines (SVM) in the context of activity recognition. Local features that capture both spatial and temporal information in activity videos have made significant progress ...
Denman, Simon, Sridharan, Sridha, Sridha Sridharan, Sabanadesan Umakanthan, Simon Denman, Umakanthan, Sabanadesan, Fookes, Clinton, Clinton Fookes   +7 more
core   +1 more source

Human activity recognition based on accelerometer and gyroscope sensors

, 2017
Human Activity Recognition (HAR) is a key component in smart health in that it is valuable to solve many real-life, human-centric problems such as eldercare and healthcare. HAR aims to recognize common human activities in real life settings.
Mishkhal, Israa Adnan
core  

Optimizing Trajectories Clustering for Activity Recognition

, 2008
International audienceThis work aims at recognizing activities from large video datasets, using the object trajectories as the activity descriptors. We make usage of a compact structure based on 6 features to represent trajectories. This structure allows
Bremond, François, Suresh, Sundaram, Patino, Luis, Pusiol, Guido, Thonnat, Monique   +4 more
core   +1 more source

Human activity recognition based on triaxial accelerometer

, 2012
Activity recognition has become one of the most popular research topics. In this paper, efforts on activity recognition based on the WIMU (Wireless Inertial Measurement Unit) sensors are reported. We use triaxial accelerometer to capture the acceleration
Zhu SJ(朱思俊), Zhu, Zhiliang, Liu TC(刘天赐), Zhang L(张莉)   +3 more
core  

Semantic Studies of a Synchronous Approach to Activity Recognition [PDF]

, 2018
International audienceMany important and critical applications such as surveillance or healthcare require some form of (human) activity recognition. Activities are usually represented by a series of actions driven and triggered by events.
Sarray, Ines, Ressouche, Annie, Gaffé, Daniel, Moisan, Sabine, Rigault, Jean-Paul   +4 more
core   +1 more source

Gait-Driven Pose Tracking and Movement Captioning Using OpenCV and MediaPipe Machine Learning Framework

Engineering Proceedings
Pose tracking and captioning are extensively employed for motion capturing and activity description in daylight vision scenarios. Activity detection through camera systems presents a complex challenge, necessitating the refinement of numerous algorithms ...
Malathi Janapati, Leela Priya Allamsetty, Tarun Teja Potluri, Kavya Vijay Mogili   +3 more
doaj   +1 more source

2nd International Workshop on Sensor-based Activity Recognition and Interaction, iWOAR 2015. Proceedings

, 2022
Wearable sensors potentially enable for a better and unobtrusive recognition of human activity and the state of rest, sleep, stress and drive the ongoing trend of the quantified self-movement.

core  

Activity Recognition from Daily-Life Sounds Using Unsupervised Learning with Dirichlet Multinomial Mixture Models

Sensors
To support ambient assisted living for the elderly living alone, we investigate a method for recognizing daily activities from household sounds. To reduce the cost of building an activity-recognition model, we adopt an unsupervised learning approach ...
Ken Sadohara, Natsuki Miyata
doaj   +1 more source

Evaluating the effects of safety incentives on worker safety behavior control through image-based activity classification

Frontiers in Public Health
IntroductionConstruction worker safety remains a major concern even as task automation increases. Although safety incentives have been introduced to encourage safety compliance, it is still difficult to accurately measure the effectiveness of these ...
Bogyeong Lee, Hyunsoo Kim
doaj   +1 more source