Activity Recognition

Human Activity Recognition is the problem of identifying events performed by humans given a video input. It is formulated as a binary (or multiclass) classification problem of outputting activity class labels. Activity Recognition is an important problem with many societal applications including smart surveillance, video search/retrieval, intelligent robots, and other monitoring systems.

Source: Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 131–140 of 1322 papers

Title	Date	Tasks	Status	Hype
SensorLLM: Human-Intuitive Alignment of Multivariate Sensor Data with LLMs for Activity Recognition	Oct 14, 2024	Activity RecognitionDescriptive	CodeCode Available	2
X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing	Oct 14, 2024	Activity RecognitionHuman Activity Recognition	—Unverified	0
Real-time Monitoring of Lower Limb Movement Resistance Based on Deep Learning	Oct 13, 2024	Activity PredictionActivity Recognition	—Unverified	0
Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition	Oct 13, 2024	Activity RecognitionFew-Shot Learning	—Unverified	0
FMCW Radar Principles and Human Activity Recognition Systems: Foundations, Techniques, and Applications	Oct 11, 2024	Activity RecognitionHuman Activity Recognition	—Unverified	0
Generalizable Indoor Human Activity Recognition Method Based on Micro-Doppler Corner Point Cloud and Dynamic Graph Learning	Oct 10, 2024	Activity RecognitionDecision Making	—Unverified	0
Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition	Oct 10, 2024	Activity RecognitionDimensionality Reduction	—Unverified	0
Understanding Human Activity with Uncertainty Measure for Novelty in Graph Convolutional Networks	Oct 10, 2024	Activity RecognitionHuman Activity Recognition	—Unverified	0
WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring	Oct 7, 2024	Activity RecognitionCloud Computing	—Unverified	0
WiDistill: Distilling Large-scale Wi-Fi Datasets with Trajectory Matching	Oct 5, 2024	Activity RecognitionHuman Activity Recognition	CodeCode Available	0

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All datasets RWF-2000 Stanford40 First-Person Hand Action Benchmark Self-stimulatory Behavior Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Structured Keypoint Pooling	Accuracy	93.4	—	Unverified
2	Semi-Supervised Hard Attention (SSHA); pretrained on Deepmind Kinetics dataset	Accuracy	90.4	—	Unverified
3	Human Skeletons + Change Detection	Accuracy	90.25	—	Unverified
4	Separable Convolutional LSTM	Accuracy	89.75	—	Unverified
5	SPIL Convolution	Accuracy	89.3	—	Unverified
6	Flow Gated Network	Accuracy	87.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FocusCLIP	Top-3 Accuracy (%)	10.47	—	Unverified
2	CLIP	Top-3 Accuracy (%)	6.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Boutaleb et al.	1:1 Accuracy	97.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	all-landmark-model	Activity Recognition	0.76	—	Unverified