[HTML][HTML] Multi-subject human activities: A survey of recognition and evaluation methods based on a formal framework
Abstract Human Activity Recognition (HAR) in smart environments is a well-explored
research domain, given its diverse applications which include healthcare, surveillance …
research domain, given its diverse applications which include healthcare, surveillance …
Multilabel classification methods for human activity recognition: A comparison of algorithms
As the world's population is aging, and since access to ambient sensors has become easier
over the past years, activity recognition in smart home installations has gained increased …
over the past years, activity recognition in smart home installations has gained increased …
Multi-resident type recognition based on ambient sensors activity
With the development of sensing and intelligent technologies, ambient sensor-based activity
recognition is attracting more attention for a wide range of applications. One of the …
recognition is attracting more attention for a wide range of applications. One of the …
Analysis Recognition of Ghost Pepper and Cili-Padi using Mask-RCNN and YOLO.
LL Yin, MN Zainudin, WH Saad… - Przeglad …, 2023 - search.ebscohost.com
Fruit harvesting robots have made headlines in the agricultural industry in recent years. A
fruit recognition system would assist farmers or agricultural industry practitioners in …
fruit recognition system would assist farmers or agricultural industry practitioners in …
[PDF][PDF] Activity recognition on subject independent using machine learning
Recent Activity Daily Living (ADL) not only tackles simple activities, but also caters to a wide
range of complex activities. Although the same activity has been carried out under the same …
range of complex activities. Although the same activity has been carried out under the same …
Applying machine learning technologies based on historical activity features for multi-resident activity recognition
JM Liang, PL Chung, YJ Ye, S Mishra - Sensors, 2021 - mdpi.com
Due to the aging population, home care for the elderly has become very important.
Currently, there are many studies focusing on the deployment of various sensors in the …
Currently, there are many studies focusing on the deployment of various sensors in the …
Multi-resident activity recognition using label combination approach in smart home environment
Activity recognition in smart home environment is becoming challenging when it is involving
more than one resident living in the same space. It is not merely recognizing the activity …
more than one resident living in the same space. It is not merely recognizing the activity …
Human Activity Recognition in Smart Home using Deep Learning Models
Applying deep learning to IoT data classification would yield deeper and more useful
insights. IoT field is very wide and has several applications. In this paper we focus on smart …
insights. IoT field is very wide and has several applications. In this paper we focus on smart …
Adaptive profiling model for multiple residents activity recognition analysis using spatio-temporal information in smart home
In this research, we look at the notion of spatio-temporal and create context information from
the smart home environment for multiple resident activity recognition analysis. We created …
the smart home environment for multiple resident activity recognition analysis. We created …
Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition
This paper presents two models to address the problem of multi-person activity recognition
using ambient sensors in a home. The first model, Seq2Res, uses a sequence generation …
using ambient sensors in a home. The first model, Seq2Res, uses a sequence generation …