Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features
<p dir="ltr">Stress recognition, particularly using machine learning (ML) with physiological data such as heart rate variability (HRV), holds promise for mental health interventions. However, limited datasets in affective computing and healthcare research can lead to inaccurate concl...
محفوظ في:
| المؤلف الرئيسي: | Mariam Bahameish (19255789) (author) |
|---|---|
| مؤلفون آخرون: | Tony Stockman (14332704) (author), Jesús Requena Carrión (19255792) (author) |
| منشور في: |
2024
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Short-Term Effects of Heart Rate Variability Biofeedback on Working Memory
حسب: Mariam Bahameish (19255789)
منشور في: (2024) -
Assessing the Effects of Music on Anxiety and Performance in Tasks Using Heart Rate Variability and Mean Arterial Pressure
حسب: M. Nithya Mylakumar (22155802)
منشور في: (2024) -
Effect of ramp slope on intensity thresholds based on correlation properties of heart rate variability during cycling
حسب: Pablo R. Fleitas‐Paniagua (19459594)
منشور في: (2023) -
Feature selection enhancement and feature space visualization for speech-based emotion recognition
حسب: Sofia Kanwal (12256565)
منشور في: (2022) -
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
حسب: Muhammad Adeel Asghar (6724982)
منشور في: (2019)