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Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 621–630 of 744 papers

Title	Date	Tasks	Status	Hype
Human Body Parts Tracking: Applications to Activity Recognition	Jul 2, 2019	Activity RecognitionHuman Activity Recognition	—Unverified	0
An IoT Based Framework For Activity Recognition Using Deep Learning Technique	Jun 17, 2019	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Different Approaches for Human Activity Recognition: A Survey	Jun 11, 2019	Activity RecognitionHuman Activity Recognition	—Unverified	0
Context-driven Active and Incremental Activity Recognition	Jun 7, 2019	Active LearningActivity Recognition	—Unverified	0
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks	Jun 6, 2019	Activity RecognitionHuman Activity Recognition	—Unverified	0
Human Activity Recognition with Convolutional Neural Netowrks	Jun 5, 2019	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images	Jun 5, 2019	Activity RecognitionDeep Learning	CodeCode Available	0
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition	May 31, 2019	Active LearningActivity Recognition	CodeCode Available	0
Personalizing human activity recognition models using incremental learning	May 29, 2019	Activity RecognitionGeneral Classification	—Unverified	0
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone	May 29, 2019	Activity RecognitionHuman Activity Recognition	—Unverified	0

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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