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Movement primitive segmentation for human motion modeling: A framework for analysis
Movement primitive segmentation enables long sequences of human movement
observation data to be segmented into smaller components, termed movement primitives, to …
observation data to be segmented into smaller components, termed movement primitives, to …
Dataset bias in human activity recognition
When creating multi-channel time-series datasets for Human Activity Recognition (HAR),
researchers are faced with the issue of subject selection criteria. It is unknown what physical …
researchers are faced with the issue of subject selection criteria. It is unknown what physical …
Emotional intelligence in robots: Recognizing human emotions from daily-life gestures
The rapid advancement of robotics poses the problem of a deep integration of robotic
systems in human environments. In order to achieve this symbiosis between humans and …
systems in human environments. In order to achieve this symbiosis between humans and …
The method of dance movement segmentation and labanotation generation based on rhythm
Labanotation is a widely used dance recording system, which plays an important role in
inheriting and protecting folk dances. However, manual drawing of dance notation is time …
inheriting and protecting folk dances. However, manual drawing of dance notation is time …
[HTML][HTML] Promoting fairness in activity recognition algorithms for patient's monitoring and evaluation systems in healthcare
Researchers face the challenge of defining subject selection criteria when training
algorithms for human activity recognition tasks. The ongoing uncertainty revolves around …
algorithms for human activity recognition tasks. The ongoing uncertainty revolves around …
Classification-based segmentation for rehabilitation exercise monitoring
Introduction Exercise segmentation, the process of isolating individual repetitions from
continuous time series measurement of human motion, is key to providing online feedback …
continuous time series measurement of human motion, is key to providing online feedback …
ViTag: online WiFi fine time measurements aided vision-motion identity association in multi-person environments
In this paper, we present ViTag to associate user identities across multimodal data,
particularly those obtained from cameras and smartphones. ViTag associates a sequence of …
particularly those obtained from cameras and smartphones. ViTag associates a sequence of …
Human motion segmentation by data point classification
Contemporary physiotherapy and rehabilitation practice uses subjective measures for
motion evaluation and requires time-consuming supervision. Algorithms that can accurately …
motion evaluation and requires time-consuming supervision. Algorithms that can accurately …
CAGSI: A Classification Approach towards Gait Speed Identification
The last few decades have witnessed a remarkable amount of research addressing
numerous challenges in the domain of human activity recognition. One popular problem in …
numerous challenges in the domain of human activity recognition. One popular problem in …
Tracking limbs motion using a wireless network of inertial measurement units
Tracking the position and the orientation of human limbs to reconstruct postures and actions
is becoming a crucial need in several application domains, including medicine …
is becoming a crucial need in several application domains, including medicine …