MoodCue Session Sidebar
A subtle live sidebar during your telehealth session that surfaces affect cues from posture and motion — openness, agitation, engagement — so you can pace the conversation without staring at a screen.
Therapists, counselors, and coaches running video sessions who struggle to read non-verbal cues over a webcam
- Live posture and affect panel with a rolling timeline of openness, agitation, and engagement markers
- Session replay with body-cue timeline and suggested prompts like 'client shifted posture here — explore why'
- Privacy-first design with opt-in per session and no raw video stored, only the derived cue timeline
- Personal cue library you tune across your caseload so the model adapts to your client population
Lightweight temporal models can now read body-based emotion cues at low latency, making real-time clinical use technically viable for the first time.
Multiple peer-reviewed sources confirm therapists report skill loss in teletherapy tied to non-verbal cue reading gaps (Wiley 2024; ScienceDirect narrative review), and the field is actively seeking AI tools to fill this gap.Reduced therapeutic skill in teletherapy versus in-person therapy: The role of non-verbal communication ↗Nonverbal behavior in telehealth visits: A narrative review ↗
Direct competitors already exist in adjacent facial-emotion telehealth AI (LiveSense SDK, TheraSense, SenseCare project, AI-augmented EMDR platform), but none of the surfaced products focus on body/posture/motion cues — the differentiated angle is narrow but walled.LiveSense SDK - Facial Analysis for Telehealth Platforms ↗TheraSense: Deep Learning for Facial Emotion Analysis in Mental Health Teleconsultation ↗
Telehealth practice platforms already sustain $50–250/month per practitioner subscription tiers (SimplePractice, Jane, etc.), and B2B SDK pricing for clinical AI APIs (LiveSense) confirms willingness to pay in this category.Teletherapy Made Simple: Choose the Right Platform for Your Mental Health Practice ↗LiveSense SDK - Facial Analysis for Telehealth Platforms ↗
Teletherapy volume, AI in clinical workflows, and lightweight body-emotion research (PLOS, MDPI, IEEE 2023–2025) are all trending upward, suggesting multi-year demand stability.Recognizing Human Emotions Through Body Posture Dynamics Using Deep Learning ↗Emotion and motion: Toward emotion recognition based on standing and walking body motions ↗
Facial-emotion telehealth AI is already shipping (LiveSense, TheraSense), but body/posture emotion from a single webcam is harder than facial — pose estimation quality, clinical-grade accuracy, and sub-second latency all materially raise engineering risk.Improved human emotion recognition from body and hand pose landmarks ↗Real-Time Emotion Recognition in Online Video Conferences (SenseCare) ↗