Sep 21, 2016 · Therefore, in this paper, we introduce an approach that combines Learn++.NSE with reject option and our research findings can be used in ...
May 23, 2017 · Bibliographic details on Detecting Novel Class for Sensor-Based Activity Recognition Using Reject Rule.
Detecting Novel Class for Sensor-Based Activity Recognition Using Reject Rule ... with recurring and novel class detection using class-based ensemble. In ...
This paper proposes a novel approach for human activity recognition based on body part histograms and Hidden Markov Models. From a depth video frame, body parts ...
Aug 6, 2021 · This paper presents a novel HAR framework which can optimize the feature set and the parameters of recognition algorithm synchronously for ...
Dec 30, 2021 · The work presented within this paper focuses on the extended belief rule-based system (EBRBS), which offered promising performance compared with popular ...
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Oct 22, 2024 · The process begins with the application of object detection algorithms to identify and track hunting behaviors within a given scene or video ...
Sensor-based human activity recognition (HAR) refers to the process of inferring human actions or behaviors from raw sensor data, typically collected using ...
This paper presents a novel. HAR framework which can optimize the feature set and the parameters of recognition algorithm synchronously for robust and optimal ...
Zero-Shot Human Activity Recognition Using Non-Visual Sensors - PMC
pmc.ncbi.nlm.nih.gov › PMC7038698
In this paper, we introduce an approach to leverage sensor data in discovering new unseen activities which were not present in the training set.
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