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

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Showing 201–210 of 1322 papers

Title	Date	Tasks	Status	Score
Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset	May 27, 2025	Activity RecognitionHuman Activity Recognition	CodeCode Available	5
Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction	Jun 25, 2023	Activity Recognitioncompressed sensing	CodeCode Available	5
Eidetic 3D LSTM: A Model for Video Prediction and Beyond	May 1, 2019	Activity RecognitionVideo Prediction	CodeCode Available	5
Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition	Dec 15, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available	5
Feature engineering workflow for activity recognition from synchronized inertial measurement units	Dec 18, 2019	Activity RecognitionBIG-bench Machine Learning	CodeCode Available	5
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks	Mar 23, 2020	Activity RecognitionAttribute	CodeCode Available	5
A Survey of Human Activity Recognition Using WiFi CSI	Aug 23, 2017	Activity RecognitionBIG-bench Machine Learning	CodeCode Available	5
Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition	Mar 8, 2022	Activity RecognitionEnsemble Learning	CodeCode Available	5
Joint Activity Recognition and Indoor Localization With WiFi Fingerprints	Jul 18, 2019	Activity RecognitionIndoor Localization	CodeCode Available	5
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor Data	May 10, 2025	Activity RecognitionHuman Activity Recognition	CodeCode Available	5

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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