Effective March 28, 2023
Q: What is MorphCast Emotion AI?
A: MorphCast Emotion AI is a technology that enables the recognition and analysis of facial emotions (and not only) through artificial intelligence. It is a state-of-the-art technology that uses machine learning algorithms to analyze facial expressions and detect emotions in real-time. MorphCast Emotion AI is designed to be integrated into web applications, making it accessible to a wide range of users, including businesses and researchers. By analyzing and interpreting emotional data, MorphCast Emotion AI can provide valuable insights into customer behavior, market trends, and more. It is a powerful tool that can be used to improve customer engagement, optimize marketing campaigns, and enhance the overall user experience.
Q: What MorphCast Emotion AI is able to detect?
A: MorphCast Emotion AI platform estimates the presence and respective intensities of facial expressions in the format of seven core emotions – anger, disgust, fear, happiness, sadness, surprise, and neutral expression – according to the Ekman discrete model. The Ekman model is based on the idea that these basic emotions are universal and cross-culturally recognized, and that they are expressed through distinct facial expressions that can be detected and analyzed using machine learning algorithms. By analyzing these facial expressions in real-time, MorphCast Emotion AI can provide insights into the viewer’s emotional response.
MorphCast Emotion AI estimates also the emotional arousal and valence intensity of the viewer, according to the dimensional model of Russell, by outputting an object containing the smoothed probabilities in the range 0.00 to 1.00 of the 98 emotional affects, computed from the points in the 2D (valence, arousal) emotional space, according to the mappings of Schrerer and Ahn. The emotional affects include adventurous, afraid, alarmed, ambitious, amorous, amused, angry, annoyed, anxious, apathetic, aroused, ashamed, astonished, at ease, attentive, bellicose, bitter, bored, calm, compassionate, conceited, confident, conscientious, contemplative, contemptuous, content, convinced, courageous, defiant, dejected, delighted, depressed, desperate, despondent, determined, disappointed, discontented, disgusted, dissatisfied, distressed, distrustful, doubtful, droopy, embarrassed, enraged, enthusiastic, envious, excited, expectant, feel guilt, feel well, feeling superior, friendly, frustrated, glad, gloomy, happy, hateful, hesitant, hopeful, hostile, impatient, impressed, indignant, insulted, interested, jealous, joyous, languid, light-hearted, loathing, longing, lusting, melancholic, miserable, passionate, peaceful, pensive, pleased, polite, relaxed, reverent, sad, satisfied, self-confident, serene, serious, sleepy, solemn, startled, suspicious, taken aback, tense, tired, triumphant, uncomfortable, wavering, and worried. These emotional affects can be used to tailor the interactive video content to elicit the desired emotional response from the viewer, creating a more engaging and immersive experience.
In addition to estimating emotional responses, MorphCast Emotion AI can also estimate the attention level and Wish index of the viewer.
The software estimates the viewer’s attention level by considering whether the viewer’s face is in or out of the field of view of the webcam, head position, and other emotional and mood behavior. The speed of attention fall and rise can be properly tuned in an independent manner according to the use case. This information can be used to create a more engaging and personalized interactive video experience.
The Wish index is a proprietary metric that estimates the value of the viewer’s experience with a particular content or product presented. It takes into account the viewer’s interest and sentiment and summarizes their experience in a holistic manner. This metric can be used to optimize the interaction with the user and tailor it to the viewer’s preferences and needs in terms of product or services shown in the experience.
In addition to estimating emotional responses, attention level, and Wish index, MorphCast Emotion AI can also estimate the presence of various face features using machine learning algorithms. These face features include arched eyebrows, attractiveness, bags under eyes, baldness, bangs, beard or 5 o’clock shadow, big lips, big nose, black hair, blond hair, brown hair, chubby cheeks, double chin, earrings, bushy eyebrows, eyeglasses, goatee, gray hair, hat, heavy makeup, high cheekbones, lipstick, mouth slightly open, mustache, narrow eyes, necklace, necktie, no beard, oval face, pale skin, pointy nose, receding hairline, rosy cheeks, sideburns, straight hair, and wavy hair.
These features can be used for a variety of purposes, such as identifying specific audience demographics or personalizing the interactive video experience based on the viewer’s physical characteristics. For instance, if a viewer is identified as wearing eyeglasses, the content could adapt to this by providing more clear and legible text or graphics. Similarly, if a viewer is identified as having a receding hairline, the interactive video could adapt to this by presenting information about hair restoration products. Ultimately, the face feature estimation capabilities of MorphCast Emotion AI offer a wide range of possibilities for personalizing and optimizing interactive video content.
MorphCast Emotion AI includes various face detection and analysis features to provide a comprehensive understanding of the viewer’s characteristics and responses.
The face detector is used to detect the presence of a face in the field of view of the webcam or input image. Once the face is tracked, it is passed to other modules for analysis. If multiple faces are present, the total number of faces is available, but only the main face can be analyzed.
The pose estimation feature estimates the head-pose rotation angles expressed in radians as pitch, roll, and yaw. This information can be used to optimize the placement of graphics or text in the interactive video, based on the viewer’s head position.
The age estimation feature estimates the likely age of the main face with a granularity of years or within an age group for better numerical stability. This information can be used to create more targeted and personalized content, based on the viewer’s age.
The gender estimation feature estimates the most likely gender of the main face, male or female. This information can be used to create more targeted and personalized content, based on the viewer’s gender.
For detailed information about what MorphCast Emotion AI is able to detect, please see this documentation about How our Emotion AI works – Responsibility, Transparency and Clarity.
Q: How does it recognize emotions?
A: MorphCast Emotion AI uses deep learning algorithms to recognize emotions based on the patterns in facial expressions. For more information, please contact us by the MorphCast site contact form and we will be happy to provide deeper information on our algorithm and the science behind it.
Q: What are the benefits of using MorphCast Emotion AI client-side technology?
A: The client-side technology provides several benefits, including privacy as it works strictly on the user’s device without recording or sending private data. The real-time reaction allows for the adaptation of content in real-time based on the detected emotions. Scalability is achieved as the MorphCast Emotion AI engine uses the resources of each individual client, and there is no cloud infrastructure bottleneck. Additionally, the client-side technology makes MorphCast Emotion AI very cost-effective on high usage volumes, and the low carbon footprint makes it an environmentally responsible solution. For more information you can consult the related site page: advantages of choosing our client-side Emotion AI.
Q: What industries can use MorphCast Emotion AI?
A: The software can be used in several industries, including:
- Emotion analysis: MorphCast Emotion AI can be used to analyze and profile online audiences, collecting valuable data to enhance business strategies.
- eLearning experiences: The software can be used to create emotionally interactive lessons that adapt to individual learners’ pace and improve the effectiveness and fun of learning experiences.
- HR: MorphCast Emotion AI can be used to analyze candidates during recruiting phases, and to deliver adaptive training paths based on employees’ interactions, emotional response, and level of engagement to improve personnel’s soft skills and boost performance.
- Product innovation: MorphCast offers flexible and user-friendly tools for creating proof-of-concepts and innovative products, participating in calls, and finding funds to finance disruptive ideas.
- Digital advertising: The software can help to capture the attention of online users, improve audience engagement, and boost digital campaign results through personalized and impressive emotionally interactive experiences.
MorphCast Emotion AI is fully GDPR compliant, hyper-optimized, and patented science, making it an ease-of-use solution for the industries.
Do you have other great ideas on how MorphCast can help you reach your goals? Contact us and we will be happy to collaborate on your project!
For more detailed information on use cases, choose Use Cases from our site menu.
Q: How is the software trained and what about bias?
A: Our neural networks have been trained using custom datasets with huge amounts of faces, ranging from all ethnicities, ages and genders. Although the dataset is not shared, we acknowledge that there may be a possibility of race, gender, and age bias in the analysis results. However, we emphasize that the influence is not significant, and the MorphCast Emotion AI has been tested on standard test benches by an independent research center, confirming its accuracy among different ages, genders, and ethnicities. We invite you to take the possibility of bias into account and minimize its effects depending on the purpose of the analysis. It is essential to note that mitigating bias in AI algorithms is an ongoing challenge, and MorphCast’s approach to acknowledging its existence and working to minimize its effects is a step in the right direction.
Q: How accurate is MorphCast Emotion AI?
A: The accuracy of MorphCast Emotion AI depends on various factors such as the quality of the data, lighting conditions, and camera quality. However, our client-side algorithms have an accuracy level that is at par with the competitors who use server-side algorithms (see this independent publication: Emotion recognition in humans and machines using posed and spontaneous facial expression). The software is empowered by AI algorithms with minimal computation and size overhead, ensuring efficiency in resource utilization. Additionally, the large number of configurable parameters guarantees flexibility, while the default configuration has filters already tuned for common usages, making it ready-to-use. The intuitive interface makes it easy-to-use, and it is compatible with almost every modern browser. MorphCast Emotion AI has a modular architecture that ensures its scalability. It is capable of reaching even 20-30 analyses per second on PC devices and usually reaches seven analyses per second on most last-generation mobiles. The dynamic power-save optimizer is designed to optimize CPU and GPU load when available, making it a power-efficient solution.
Q: Can the software be integrated with other systems?
A: Yes, MorphCast Emotion AI can be integrated with other systems. The software has an SDK with modular architecture that makes it easy to integrate with other systems, and its compatibility with almost every modern browser makes it a flexible solution for different use cases. Additionally, MorphCast Emotion AI offers a large number of configurable parameters, which allows users to tailor the software to their specific needs. The integration of MorphCast Emotion AI with other systems can enhance the capabilities of those systems, enabling them to detect and analyze human emotions, and provide a more personalized and engaging experience for the end-users.
Q: Are there any ethical concerns with using MorphCast Emotion AI?
A: As with any technology that involves the collection and processing of personal data, there are potential ethical concerns associated with using MorphCast Emotion AI. These concerns primarily revolve around issues related to privacy, fairness, and potential bias.
One major ethical concern is the potential misuse or mishandling of personal data, particularly emotional data, that may be collected through the use of Emotion AI. To address this concern, MorphCast Emotion AI has established a code of ethics and guidelines to ensure ethical and responsible behavior from all parties involved in the use of the technology. The guidelines emphasize the importance of obtaining explicit and informed consent from individuals before collecting or processing their emotional data, respecting the privacy and dignity of individuals, and being transparent about the capabilities and limitations of Emotion AI systems.
Another ethical concern is the potential for Emotion AI to perpetuate or exacerbate existing biases or discrimination. This could occur if the training data used to develop the algorithms for Emotion AI is biased or if the technology is used to make decisions that discriminate against certain groups of people. To address this concern, MorphCast Emotion AI has trained its neural networks using custom datasets with huge amounts of faces, ranging from all ethnicities, ages, and genders. Additionally, MorphCast Emotion AI advises its customers to take into account the existence of any bias case by case in order to cancel or minimize its effect as much as possible.
Finally, there is the concern that Emotion AI could be used to manipulate or exploit individuals. This could occur if the technology is used to intentionally or unintentionally manipulate an individual’s emotional state or to exploit their emotional vulnerabilities. To address this concern, MorphCast Emotion AI advocates for a responsible and ethical approach to the development and use of Emotion AI systems. The Guidelines for a responsible approach to Emotion AI emphasize the importance of designing and using Emotion AI systems in a way that respects the privacy and dignity of individuals and avoids using the technology in a way that discriminates against or unfairly disadvantages any particular group of individuals.
In summary, while there are potential ethical concerns associated with using MorphCast Emotion AI, the company has taken steps to address these concerns and promote a responsible and ethical approach to the development and use of the technology.
Q: Are there any privacy concerns with using MorphCast Emotion AI?
A: Privacy is an important concern when it comes to using MorphCast Emotion AI, as it involves the processing of personal data, including collection of emotional data.
However, MorphCast Emotion AI takes privacy very seriously and has implemented measures to ensure that the privacy of users is protected. One key feature of MorphCast Emotion AI is that it works strictly on the client-side, meaning that the personal data from users remains on their device and is not sent to any servers for analysis. This means that users have full control over their data and are not at risk of their data being accessed by third parties.
MorphCast Emotion AI also emphasizes the importance of obtaining explicit and informed consent from individuals before collecting or processing their data. This means that users must be fully informed about the purpose of the Emotion AI, how their data will be used, and any potential risks or benefits associated with participating. They must also have the opportunity to opt-in or opt-out of the data collection or processing.
In addition, MorphCast Emotion AI securely handles personal data in accordance with relevant laws and regulations. The company is fully GDPR compliant, which means that they adhere to strict data protection standards and ensure that users’ personal data is processed fairly and lawfully.
Overall, while privacy is an important concern with any technology that collects personal data, MorphCast Emotion AI takes measures to protect the privacy of users and ensure that their data is collected and processed in a responsible and ethical manner.
Q: Which products/services does MorphCast offer?
A: MorphCast offers various products as a service, including MorphCast Emotion AI Interactive Video Platform, Emotion AI HTML5 SDK and several Emotion AI Web Applications. Stay updated on all the services and products of MorphCast Emotion AI by consulting the menu item “Products” in our site.
We also provide custom solutions for specific use cases. Additionally, MorphCast provides professional services such as consulting, training, and support for our products and services.
Q: What is the cost of using MorphCast Emotion AI?
A: MorphCast is known for being the most cost-effective facial Emotion AI service on the market. On the MorphCast site we provide complete price models and simulations at the links: MorphCast Emotion AI HTML5 SDK price calculator and MorphCast Emotion AI WEB APP price calculator.