Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
Human activity recognition (IMU) · RealWorld HAR · Macro-F1 on HAR activities
One row per reported result from wearable PPG, ECG, motion and sleep papers. Filter by task, dataset, metric, sensor and year, or show only SOTA rows. Each value links to its source: a paper table or figure, or the leaderboard row it came from.
Last updated
433
reported results
224
with a table or figure reference
92
papers and models
134
task × dataset × metric pairs
38
benchmarks with a SOTA star
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
Human activity recognition (IMU) · RealWorld HAR · Macro-F1 on HAR activities
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
Human activity recognition (IMU) · RealWorld HAR · Macro-F1 on HAR activities
Human activity recognition (IMU) · RealWorld HAR · Macro-F1 on HAR activities
Human activity recognition (IMU) · UCI Human Activity Recognition Using Smartphones (UCI-HAR) · F1 on HAR activities (averaging not stated)
Human activity recognition (IMU) · UCI Human Activity Recognition Using Smartphones (UCI-HAR) · F1 on HAR activities (averaging not stated)
Human activity recognition (IMU) · UCI Human Activity Recognition Using Smartphones (UCI-HAR) · F1 on HAR activities (averaging not stated)
Human activity recognition (IMU) · USC-HAD · F1 on HAR activities (averaging not stated)
Human activity recognition (IMU) · USC-HAD · F1 on HAR activities (averaging not stated)
Human activity recognition (IMU) · USC-HAD · F1 on HAR activities (averaging not stated)
Human activity recognition (IMU) · WISDM AR v1.1 · Accuracy
Human activity recognition (IMU) · WISDM AR v1.1 · Accuracy
Human activity recognition (IMU) · WISDM AR v1.1 · Accuracy
Human activity recognition (IMU) · WISDM AR v1.1 · Accuracy
Human activity recognition (IMU) · WISDM AR v1.1 · Macro-F1 on HAR activities
Human activity recognition (IMU) · μDPad · Accuracy
In Mild dehydration identification using ML on autonomic responses to cognitive stress
Hydration · Own Simband recordings · Accuracy (%)
In Hypertension screening via awake–sleep differences in photoplethysmogram signals
Hypertension · Aurora-BP · Accuracy (%)
Hypertension · MIMIC-III (ECG+PPG) · AUROC
Hypertension · PPG-BP · AUROC
Hypertension · PPG-BP · AUROC
Hypertension · PPG-BP · AUROC
Hypertension · PPG-BP · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
Hypertension · PPG-BP · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
Hypertension · PPG-BP · AUROC
Hypertension · PPG-BP · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
Hypertension · PPG-BP · AUROC
Hypertension · PPG-BP · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
Hypertension · PPG-BP · AUROC
Hypertension · PPG-BP · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
Hypertension · PPG-BP · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
Hypertension · PPG-BP · AUROC
ICU admission · VitalDB · AUROC
ICU admission · VitalDB · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
ICU admission · VitalDB · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
ICU admission · VitalDB · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
ICU admission · VitalDB · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
ICU admission · VitalDB · AUROC
ICU admission · VitalDB · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
ICU admission · VitalDB · AUROC
Baseline in PaPaGei: Open Foundation Models for Optical Physiological Signals
ICU admission · VitalDB · AUROC
Menstrual cycle phase · mcPHASES · Macro F1
In A Foundation Model for Wearable Movement Data in Mental Health Research (PAT)
Mental health from wearables · NHANES actigraphy · AUROC
Mental health from wearables · NHANES actigraphy · AUROC
Cross-Modal Correlation Fusion for End-to-End ECG–PPG Stress Classification
Mental workload / stress · WESAD · Accuracy
Mental workload / stress · WESAD · Accuracy
Cross-Modal Correlation Fusion for End-to-End ECG–PPG Stress Classification
Mental workload / stress · WESAD · Area under ROC
Mental workload / stress · WESAD · Area under ROC
Mental workload / stress · WESAD · Area under ROC
Mental workload / stress · WESAD · Area under ROC
Mental workload / stress · WESAD · Area under ROC
Showing 301–350 of 433 results
New entry: A cross-subject stress recognition method…, 0.9158
Stress detection (acute / prolonged / affect): WESAD: accuracy
New entry: PC-AVCT wearable-state model, 7.697
From the hub's dated sync history: new results as they are added, and SOTA stars as they are awarded or move.
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Results as reported by the authors; not independently reproduced. Leaderboard rows without a structured protocol are listed but don't receive stars. See also the leaderboards.
CC BY 4.0ChatPPG compiled this data. You can copy, adapt and republish it, including in articles, slides, papers and AI tools, as long as you credit ChatPPG and link to this page. Please also cite the original studies for any number you use.
Source: ChatPPG, Wearable AI results explorer, https://chatppg.com/research/results (CC BY 4.0)
Source: <a href="https://chatppg.com/research/results">ChatPPG, Wearable AI results explorer</a> (<a href="https://creativecommons.org/licenses/by/4.0/" rel="license">CC BY 4.0</a>)