SOTAVerified|Agents Browse Leaderboard About

Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 591–600 of 744 papers

Title	Date	Tasks	Status	Hype	Score
A MIMO Radar-Based Metric Learning Approach for Activity Recognition	Nov 2, 2021	Activity RecognitionFew-Shot Learning	—Unverified	0	0
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation	May 20, 2024	Activity RecognitionBinary Classification	—Unverified	0	0
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation	Mar 20, 2023	Activity RecognitionBenchmarking	—Unverified	0	0
Analysis of Gait Pattern to Recognize the Human Activities	Jul 18, 2014	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
An Efficient Data Imputation Technique for Human Activity Recognition	Jul 8, 2020	Activity RecognitionBIG-bench Machine Learning	—Unverified	0	0
An end-to-end (deep) neural network applied to raw EEG, fNIRs and body motion data for data fusion and BCI classification task without any pre-/post-processing	Jul 17, 2019	Action DetectionActivity Recognition	—Unverified	0	0
A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition	Jul 27, 2021	Activity RecognitionDecision Making	—Unverified	0	0
A new network-based algorithm for human activity recognition in video	Feb 21, 2015	Action DetectionActivity Detection	—Unverified	0	0
An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos	Feb 6, 2020	Action RecognitionAction Recognition In Videos	—Unverified	0	0
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare	Aug 6, 2020	Activity RecognitionBIG-bench Machine Learning	—Unverified	0	0

Show:10 25 50

← PrevPage 60 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