Machine learning activity detection using ML. Net
Our living environment is becoming more and more aware of our presence and starts to
react and interact with us. The smart house has long moved from concept to reality., as our …
react and interact with us. The smart house has long moved from concept to reality., as our …
Human activity detection using smartphone sensor data in real-time based on deep learning approaches
Recently, activity detection using sensor data is a widely growing field throughout the world,
employing the concepts of artificial intelligence (AI) and deep learning (DL). Fitness tracking …
employing the concepts of artificial intelligence (AI) and deep learning (DL). Fitness tracking …
Activity prediction using LSTM in smart home
In the near future, smart home systems will play more and more important role to provide
comfortable and safe life to human. Today, we already have some realistic way to monitor …
comfortable and safe life to human. Today, we already have some realistic way to monitor …
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 …
Comparative study of CNN, VGG16 with LSTM and VGG16 with Bidirectional LSTM using kitchen activity dataset
R Aparna, CK Chitralekha… - … on I-SMAC (IoT in Social …, 2021 - ieeexplore.ieee.org
Computer-based human activity detection of everyday life has lately attracted a lot of
attention due to its relevance to contextual assisted living. Such applications necessitate the …
attention due to its relevance to contextual assisted living. Such applications necessitate the …
Human activity prediction in smart home environments with LSTM neural networks
N Tax - 2018 14th international conference on intelligent …, 2018 - ieeexplore.ieee.org
In this paper, we investigate the performance of several sequence prediction techniques on
the prediction of future events of human behavior in a smart home, as well as the timestamps …
the prediction of future events of human behavior in a smart home, as well as the timestamps …
A system for monitoring the electric usage of home appliances using machine learning algorithms
NH Nguyen, VH Duong - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
In recent years, one of the most major issues in the world is energy preservation, while
electric energy accounts for a huge amount of total energy consumption over a year. Many …
electric energy accounts for a huge amount of total energy consumption over a year. Many …
Human activity detection from inertial data using RNN and LSTM network
T Boultache, B Achour… - International Journal of …, 2022 - inderscienceonline.com
With the advancement of smartphones and the rapid development of artificial intelligence,
human activity detection systems help to improve human welfare and health. However …
human activity detection systems help to improve human welfare and health. However …
Predicting human activity from mobile sensor data using CNN architecture
KK Krishnaprabha, CK Raju - 2020 Advanced Computing and …, 2020 - ieeexplore.ieee.org
Having a model for predicting motion related activities of humans have tremendous
applications. Quite often a simple smartphone is enough for monitoring the liveliness of a …
applications. Quite often a simple smartphone is enough for monitoring the liveliness of a …
Activities recognition, anomaly detection and next activity prediction based on neural networks in smart homes
In this paper, we propose a unified deep learning model for monitoring elderly in execution
of daily life activities such as eating, sleeping or taking medication. The proposed approach …
of daily life activities such as eating, sleeping or taking medication. The proposed approach …