Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Vahan Samvedak: a comprehensive real-time college bus tracking and safety system. [PDF]
Chauhan Y +8 more
europepmc +1 more source
Predicting driver fatigue using HRV measures and machine learning. [PDF]
Puspasari MA +7 more
europepmc +1 more source
Decreasing patient appointment waiting days for ultrasound diagnosis in Saint Peter Specialized Hospital: a quality improvement project. [PDF]
Dagne Moges D +5 more
europepmc +1 more source
The accelerating loss and shifting dynamics of US tidal wetlands. [PDF]
Yang X +6 more
europepmc +1 more source
Emerging risk identification in the food chain using text mining-supported monitoring of food safety news: insights from 2022 to 2023. [PDF]
Farkas Z +9 more
europepmc +1 more source
The gut pathobiome: a new frontier in the management of the critically ill. [PDF]
Madách K.
europepmc +1 more source
Related searches:
Smart driver monitoring system
Multimedia Tools and Applications, 2021Driver fatigue and drowsiness is an ever-rising issue that could place a lot of entities at risk. The associated problems are not only dangerous for the driver and the passenger but they pose a negative image on an industry that functions using drivers that work long hours in tough road conditions.
Shubhi Shaily +3 more
openaire +1 more source
We made a prototype rear-view mirror with a built in image sensor. Useful driver assistance systems must provide information and warnings that adapt to a driver's status, such as awareness and attention levels. Image processing is one of the best approaches to monitor the driver's status, however it is necessary to develop a suitable image sensor to ...
Michimasa Itoh +3 more
openaire +1 more source
Non-contact ECG Monitoring for Driver
2020 30th International Conference Radioelektronika (RADIOELEKTRONIKA), 2020This work describes system for electrocardiographic (ECG) signal scanning with non-contact electrodes and wireless data transmission. Introductory part deals about electrocardiography and generally with analog signal processing especially with active capacitance electrodes. In the next part of this work the ECG measuring system is designed.
Štork, Milan, Houzar, Josef
openaire +2 more sources

