ArticlePeerJ2016
Emotion recognition using Kinect motion capture data of human gaits.
Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- The language of gait: interpreting emotional states through gait videos.Journal of neurology · 2025Article
- Development and validation of a multi-modal contactless sensing system for surgical risk analysis in a real-world environment.PLOS digital health · 2025Article
- Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation.Scientific reports · 2025Article
- A behavioral analysis system MCFBM enables objective inference of songbirds' attention during social interactions.Cell reports methods · 2024Article
- Brain mechanisms involved in the perception of emotional gait: A combined magnetoencephalography and virtual reality study.PloS one · 2024Article
- Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion.Sensors (Basel, Switzerland) · 2022Article
- Identifying Individuals Who Currently Report Feelings of Anxiety Using Walking Gait and Quiet Balance: An Exploratory Study Using Machine Learning.Sensors (Basel, Switzerland) · 2022Article
- Motion Capture Sensor-Based Emotion Recognition Using a Bi-Modular Sequential Neural Network.Sensors (Basel, Switzerland) · 2022Article
- Emotional characteristic analysis of human gait while real-time movie viewing.Frontiers in artificial intelligence · 2022Article
- Incorporating Interpersonal Synchronization Features for Automatic Emotion Recognition from Visual and Audio Data during Communication.Sensors (Basel, Switzerland) · 2021Article
- Anxiety sensitivity and bodily kinematics.Behaviour research and therapy · 2020Article
- Unobtrusive tracking of interpersonal orienting and distance predicts the subjective quality of social interactions.Royal Society open science · 2020Article
- High-Speed Measurement of Shape and Vibration: Whole-Field Systems for Motion Capture and Vibration Modal Analysis by OPPA Method.Sensors (Basel, Switzerland) · 2020Article
- Wearable Emotion Recognition Using Heart Rate Data from a Smart Bracelet.Sensors (Basel, Switzerland) · 2020Article
- Gait can reveal sleep quality with machine learning models.PloS one · 2019Observational
- See your mental state from your walk: Recognizing anxiety and depression through Kinect-recorded gait data.PloS one · 2019Article
- Utilising the Intel RealSense Camera for Measuring Health Outcomes in Clinical Research.Journal of medical systems · 2018Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Automatic emotion recognition is of great value in many applications, however, to fully display the application value of emotion recognition, more portable, non-intrusive, inexpensive technologies need to be developed. Human gaits could reflect the walker's emotional state, and could be an information source for emotion recognition. This paper proposed a novel method to recognize emotional state through human gaits by using Microsoft Kinect, a low-cost, portable, camera-based sensor. Fifty-nine participants' gaits under neutral state, induced anger and induced happiness were recorded by two Kinect cameras, and the original data were processed through joint selection, coordinate system transformation, sliding window gauss filtering, differential operation, and data segmentation. Features of gait patterns were extracted from 3-dimentional coordinates of 14 main body joints by Fourier transformation and Principal Component Analysis (PCA). The classifiers NaiveBayes, RandomForests, LibSVM and SMO (Sequential Minimal Optimization) were trained and evaluated, and the accuracy of recognizing anger and happiness from neutral state achieved 80.5% and 75.4%. Although the results of distinguishing angry and happiness states were not ideal in current study, it showed the feasibility of automatically recognizing emotional states from gaits, with the characteristics meeting the application requirements.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.