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What is NoldusHub?

NoldusHub is an innovative, comprehensive platform designed for research focused on human behavior. This software solution aims to enhance research efficiency across various modalities, delivering high-quality data and insights into human actions and feelings. Understanding a person's motivations and emotional states necessitates multimodal research, which can be quite challenging, particularly when multiple tools for data acquisition require precise calibration. To meet this challenge, NoldusHub® has been created specifically to facilitate multimodal research. It streamlines the entire process, from the initial setup to connecting devices, and allows for the recording and visualization of results in an easily interpretable format. By consolidating everything into one platform, NoldusHub not only saves researchers time and effort but also alleviates any frustration associated with managing multiple systems. With its user-friendly design, it promises to transform the way researchers approach their studies and analyze human behavior.

What is FaceReader?

FaceReader is an exceptional automated system that provides precise and reliable information about facial expressions, significantly aiding in the analysis of emotional responses. It offers valuable insights into how various stimuli affect emotions, making it a powerful tool in research. The software is designed to be user-friendly, which helps users conserve both time and resources efficiently. Moreover, it allows for seamless integration with eye-tracking and physiological data, enhancing the depth of analysis. Many researchers have turned to automated facial expression analysis software to achieve a more objective understanding of emotions. Notably, FaceReader is defined by its speed, flexibility, objectivity, accuracy, and user-friendliness, enabling prompt analysis of data sourced from live feeds, videos, or still images, which is crucial for time-sensitive research. Additionally, it includes the functionality to record audio in conjunction with video, enabling researchers to capture the spoken interactions of individuals during human-computer interactions or when they are exposed to different stimuli. As a leading automated system for identifying specific traits in facial images, FaceReader adeptly recognizes the six basic or universal expressions, solidifying its status as an indispensable resource in the field of emotion research. This extensive functionality not only streamlines the research process but also empowers researchers to extract thorough insights into emotional reactions with minimal effort. Furthermore, FaceReader’s adaptability allows it to cater to various research contexts, making it an invaluable asset for diverse studies in psychology and related fields.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Noldus

Date Founded

1989

Company Location

Netherlands

Company Website

www.noldus.com/noldushub

Company Facts

Organization Name

Noldus

Company Location

Netherlands

Company Website

www.noldus.com/facereader

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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