Human Activity
Sandro Hurtado, José García-Nieto, Anton Popov, Ismael Navas-Delgado (2023). "Human Activity Recognition From Sensorised Patient's Data in Healthcare: A Streaming Deep Learning-Based Approach", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 8, issue Special Issue on AI-driven Algorithms and Applications in the Dynamic and Evolving Environments, no. 1, pp. 23-37. https://doi.org/10.9781/ijimai.2022.05.004 |
Dalila Durães, Bruno Veloso, Paulo Novais (2023). "Violence Detection in Audio: Evaluating the Effectiveness of Deep Learning Models and Data Augmentation", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 8, issue Special Issue on Practical Applications of Agents and Multi-Agent Systems, no. 3, pp. 72-84. https://doi.org/10.9781/ijimai.2023.08.007 |
Kamal Kant Verma, Brij Mohan Singh (2021). "Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 7, issue Regular Issue, no. 2, pp. 44-58. https://doi.org/10.9781/ijimai.2021.08.008 |
Pekka Siirtola, Juha Röning (2018). "Revisiting “Recognizing Human Activities User- Independently on Smartphones Based on Accelerometer Data” – What Has Happened Since 2012?", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 5, issue Regular Issue, no. 3, pp. 17-21. https://doi.org/10.9781/ijimai.2018.12.001 |
Anil Kumar, Rahul Kala, Ajay Kumar, Satish Kumar Singh (2016). "Human Activity Recognition in Real-Times Environments using Skeleton Joints", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 3, issue Regular Issue, no. 7, pp. 61-69. https://doi.org/10.9781/ijimai.2016.379 |
Anubha Parashar, Apoorva Parashar, Somya Goyal (2016). "Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 4, issue Regular Issue, no. 2, pp. 29-34. https://doi.org/10.9781/ijimai.2016.425 |