Papers Wearable Activity Recognition
“Wearable Activity Recognition” 태그가 달린 논문 6편 · 필터 해제
Unimodal and Multimodal Sensor Fusion for Wearable Activity Recognition
Combining different sensing modalities with multiple positions helps form a unified perception and understanding of complex situations such as human behavior. Hence, human activity recognition (HAR) benefits from combini…
Activity RecognitionGesture RecognitionHuman Activity RecognitionPosition+2Temporal Action Localization for Inertial-based Human Activity Recognition
As of today, state-of-the-art activity recognition from wearable sensors relies on algorithms being trained to classify fixed windows of data. In contrast, video-based Human Activity Recognition, known as Temporal Action…
Action LocalizationActivity RecognitionHuman Activity RecognitionTemporal Action Localization+1WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition
Research has shown the complementarity of camera- and inertial-based data for modeling human activities, yet datasets with both egocentric video and inertial-based sensor data remain scarce. In this paper, we introduce W…
Action DetectionAction LocalizationEgocentric Activity RecognitionHuman Activity Recognition+2Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition
We address the well-known wearable activity recognition problem of having to work with sensors that are non-optimal in terms of information they provide but have to be used due to wearability/usability concerns (e.g. the…
Activity RecognitionWearable Activity RecognitionFedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare
The success of machine learning applications often needs a large quantity of data. Recently, federated learning (FL) is attracting increasing attention due to the demand for data privacy and security, especially in the m…
Activity RecognitionFederated LearningTransfer LearningWearable Activity RecognitionFedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
With the rapid development of computing technology, wearable devices such as smart phones and wristbands make it easy to get access to people's health information including activities, sleep, sports, etc. Smart healthcar…
Activity RecognitionFederated LearningTransfer LearningWearable Activity Recognition