SOTAVerified|Agents Browse Leaderboard About

Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 211–220 of 744 papers

Title	Date	Tasks	Status	Hype	Score
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation	May 20, 2024	Activity RecognitionBinary Classification	—Unverified	0	0
A Wi-Fi Signal-Based Human Activity Recognition Using High-Dimensional Factor Models	Nov 10, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
A Wearable Multi-Modal Edge-Computing System for Real-Time Kitchen Activity Recognition	Sep 10, 2024	Activity RecognitionEdge-computing	—Unverified	0	0
A MIMO Radar-Based Metric Learning Approach for Activity Recognition	Nov 2, 2021	Activity RecognitionFew-Shot Learning	—Unverified	0	0
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset	Jan 9, 2019	Activity RecognitionAutonomous Vehicles	—Unverified	0	0
A compact sequence encoding scheme for online human activity recognition in HRI applications	Dec 1, 2020	Action RecognitionActivity Recognition	—Unverified	0	0
WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring	Oct 7, 2024	Activity RecognitionCloud Computing	—Unverified	0	0
DIAT-RadHARNet: A lightweight DCNN for radar based classification of human suspicious activities	Feb 1, 2022	Human Activity Recognition	—Unverified	0	0
Automated Human Activity Recognition by Colliding Bodies Optimization-based Optimal Feature Selection with Recurrent Neural Network	Oct 7, 2020	Activity Recognitionfeature selection	—Unverified	0	0
Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors	Mar 22, 2021	Activity RecognitionHuman Activity Recognition	—Unverified	0	0

Show:10 25 50

← PrevPage 22 of 75Next →

All datasets RHM OAD dataset PAMAP2 HAR HMDB51 MM-Fit Radar Dataset (DIAT-μRadHAR: Radar micro-Doppler Signature dataset for Human Suspicious Activity Recognition)UCF-101

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Dual-Stream C3D	Accuracy (Top-1)	71.06	—	Unverified
2	C3D	Accuracy (Top-1)	70.3	—	Unverified
3	Dual-Stream ConvNet	Accuracy (Top-1)	62.77	—	Unverified
4	SlowFast (101)	Accuracy (Top-1)	45.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ESTIE + VGG16 (transfer-learning)	Accuracy	95.22	—	Unverified
2	STIE + VGG16 (transfer-learning)	Accuracy	94.77	—	Unverified
3	STIE + VGG16(fine-tuning)	Accuracy	86.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AFVF	Accuracy	0.97	—	Unverified
2	Selective HAR Clustering	NMI	0.88	—	Unverified
3	Unsupervised embedding learning for human activity recognition using wearable sensor data	NMI	0.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LMSS	Accuracy	1	—	Unverified
2	AFVF	Accuracy	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Label-Ranker	Accuracy	61.18	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	unsupervised statistical feature guided diffusion model	F1 - macro	0.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DIAT-RadHARNet	1:1 Accuracy	99.22	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Label-Ranker	Accuracy	89.5	—	Unverified