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Listar por tema "activity recognition"

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    • Analysis of Gait Pattern to Recognize the Human Activities 

      Prakash Gupta, Jay; Dixit, Pushkar; Singh, Nishant; Bhaskar Aemwal, Vijay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2014)
      Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer ...

    • Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms 

      Verma, Kamal Kant; Singh, Brij Mohan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...

    • Improved Behavior Monitoring and Classification Using Cues Parameters Extraction from Camera Array Images 

      Jalal, Ahmad; Kamal, Shaharyar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Behavior monitoring and classification is a mechanism used to automatically identify or verify individual based on their human detection, tracking and behavior recognition from video sequences captured by a depth camera. ...

    • Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows 

      Banos, Oresti; Gálvez, Juan Manuel; Damas, Miguel; Guillén, Alberto; Herrera, Luis Javier; Pomares, Héctor; Rojas, Ignacio; Villalonga, Claudia (Lecture Notes in Computer Science, 2019)
      The automatic recognition of physical activities typically involves various signal processing and machine learning steps used to transform raw sensor data into activity labels. One crucial step has to do with the segmentation ...

    • Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning 

      Banos, Oresti; Calatroni, Alberto; Damas, Miguel; Pomares, Héctor; Roggen, Daniel; Rojas, Ignacio; Villalonga, Claudia (Springer, 2021)
      Recognizing human activities seamlessly and ubiquitously is now closer than ever given the myriad of sensors readily deployed on and around users. However, the training of recognition systems continues to be both time and ...

    • Recognizing Human Activities Based on Wearable Inertial Measurements - Methods and Applications 

      Siirtola, Pekka (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      On April 10 of 2015 Pekka Siirtola defended his PhD thesis, called “Recognizing Human Activities Based on Wearable Inertial Measurements - Methods and Applications” [1]. The thesis was supervised by Professor Juha Röning ...

    • Recognizing Human Activities Userindependently on Smartphones Based on Accelerometer Data 

      Siirtola, Pekka; Röning, Juha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2012)
      Real-time human activity recognition on a mobile phone is presented in this article. Unlike in most other studies, not only the data were collected using the accelerometers of a smartphone, but also models were implemented ...

    • Two-Stage Human Activity Recognition Using 2D-ConvNet 

      Verma, Kamal Kant; Singh, Brij Mohan; Mandoria, H L; Chauhan, Prachi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      There is huge requirement of continuous intelligent monitoring system for human activity recognition in various domains like public places, automated teller machines or healthcare sector. Increasing demand of automatic ...