Space-time representation of people based on 3D skeletal data: A review
Spatiotemporal human representation based on 3D visual perception data is a rapidly
growing research area. Representations can be broadly categorized into two groups …
growing research area. Representations can be broadly categorized into two groups …
Behavioural biometrics in VR: Identifying people from body motion and relations in virtual reality
Every person is unique, with individual behavioural characteristics: how one moves,
coordinates, and uses their body. In this paper we investigate body motion as behavioural …
coordinates, and uses their body. In this paper we investigate body motion as behavioural …
Kinectfacedb: A kinect database for face recognition
The recent success of emerging RGB-D cameras such as the Kinect sensor depicts a broad
prospect of 3-D data-based computer applications. However, due to the lack of a standard …
prospect of 3-D data-based computer applications. However, due to the lack of a standard …
Recurrent attention models for depth-based person identification
We present an attention-based model that reasons on human body shape and motion
dynamics to identify individuals in the absence of RGB information, hence in the dark. Our …
dynamics to identify individuals in the absence of RGB information, hence in the dark. Our …
[HTML][HTML] Reconsideration of Bertillonage in the age of digitalisation: Digital anthropometric patterns as a promising method for establishing identity
ML Heuschkel, D Labudde - Forensic Science International: Synergy, 2024 - Elsevier
The idea of using measurements of the human body for identity matching is deeply
associated with Bertillonage, a historic biometric system that was briefly applied until it was …
associated with Bertillonage, a historic biometric system that was briefly applied until it was …
Person identification using anthropometric and gait data from kinect sensor
V Andersson, R Araujo - Proceedings of the AAAI Conference on …, 2015 - ojs.aaai.org
Uniquely identifying individuals using anthropometric and gait data allows for passive
biometric systems, where cooperation from the subjects being identified is not required. In …
biometric systems, where cooperation from the subjects being identified is not required. In …
Robust gait recognition by integrating inertial and RGBD sensors
Gait has been considered as a promising and unique biometric for person identification.
Traditionally, gait data are collected using either color sensors, such as a CCD camera …
Traditionally, gait data are collected using either color sensors, such as a CCD camera …
Task-driven biometric authentication of users in virtual reality (VR) environments
A Kupin, B Moeller, Y Jiang, NK Banerjee… - … Conference, MMM 2019 …, 2019 - Springer
In this paper, we provide an approach for authenticating users in virtual reality (VR)
environments by tracking the behavior of users as they perform goal-oriented tasks, such as …
environments by tracking the behavior of users as they perform goal-oriented tasks, such as …
DTW-based kernel and rank-level fusion for 3D gait recognition using Kinect
This paper presents a new 3D gait recognition method that utilizes the kinect skeleton data
for representing the gait signature. We propose to use two new features, namely joint …
for representing the gait signature. We propose to use two new features, namely joint …
Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors
Medication non-adherence is a major concern in the healthcare industry and has led to
increases in health risks and medical costs. For many neurological diseases, adherence to …
increases in health risks and medical costs. For many neurological diseases, adherence to …