Did you know that human beings are capable of experiencing 34,000 emotions in a lifetime? Emotions, at a conscious or subconscious level influence our health, performance, well-being, motivation, sense of fulfillment, and decision-making skills. If it plays such a large part in our lives, isn’t it important to identify and deal with them? Human beings use a lot of non-verbal cues, such as facial expressions, body language and tone of voice, to communicate their emotions. This is why Feelenials is working with Emotion AI that can detect emotion from multiple channels such as Facial Recognition, Voice Recognition and Personality Traits. Feelenials AI unobtrusively and anonymously measures unfiltered and unbiased facial expressions of emotion standard webcam or microphones. By identifying the face in real time. Computer vision algorithms and deep learning algorithms then analyze identify and classify facial expressions.

Research has found a connection between language deficits and problems regulating emotions¹. It’s simple- if we can label something accurately, we can begin to address it properly, thus being able to articulate the emotion we’re feeling helps us to better understand our source of subconscious decisions. Thus having an abundant vocabulary for emotions, both individually and collectively, is essential to be able to pin-point what we are feeling. However, identifying and keeping up with all 34,000 emotions is quite a task so as an alternative how ever Plutchik ́s Wheel of Emotions identifies eight primary emotions and groups them into polar opposites: joy and sadness; trust and disgust; fear and anger; and surprise and anticipation. Feelenials focuses on identifying these main categories of emotions using AI so that companies can start considering how that emotion was stimulated and perhaps how that affected certain results in a company. Additionally, by tracking the emotions of an organization, decision makers can start taking necessary actions towards improving the environment in order to create a happier community.

Human beings use a lot of non-verbal cues, such as facial expressions, body language and tone of voice, to communicate their emotions.

¹Kopp (1989,1992) suggested that language skills provide important tools for understanding and regulating children’s emotions. Young children use language as a means to influence their environment. Specifically, children may use language in agentic self-managing talk, to communicate about social interactions, or to learn about appropriate ways to manage emotions. Consistent with this view, preschoolers’ language skills have been positively correlated with their ability to use distraction in a frustrating situation (Stansbury & Zimmerman, 1999). In addition, language impairment is associated with boys’ difficulty with emotion regulation (even for boys with age-appropriate abilities in other areas; Fujiki, Brinton, & Clarke, 2002). However, it is likely that emotion-related regulation and language affect one another, perhaps because better-regulated children elicit more complex language from others in their social environment (that is, adults may perceive well-regulated children as more attentive and advanced in their language skills). Consistent with the notion that language skills and regulation affect one another, infants’ regulation (as evidenced by factors such as attention span and attentional persistence) predicts their language skills eight to nine months later (Dixon & Smith, 2000).