PAMAP2
PulseAugur coverage of PAMAP2 — every cluster mentioning PAMAP2 across labs, papers, and developer communities, ranked by signal.
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Leveraging Imperfect Medical Data: A Manifold-Consistent Spatio-Temporal Network for Sensor-based Human Activity Recognition
Researchers have developed a new Manifold-Consistent Spatio-Temporal Network (MCSTN) designed to improve human activity recognition using sensor data, even when that data is imperfect. The network addresses issues like …
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Physics-informed AI adapts mobile sensors for robust human activity recognition
Researchers have developed PI-TTA, a new framework for robust human activity recognition on mobile devices. This approach addresses challenges in adapting to real-world sensor data, such as rotation and sampling rate dr…
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New HAR framework uses channel-free fusion for heterogeneous IoT sensor data
Researchers have developed a novel framework for human activity recognition (HAR) designed to overcome challenges posed by heterogeneous sensor environments in IoT settings. The proposed channel-free approach allows a s…