AI therapist reads smartwatch signals to detect emotional distress before you ask for help

Researchers built an AI therapist that reads your smartwatch and earbuds to detect distress before you ask for help

University of Ottawa researchers built an AI assistant that reads wearable signals to detect distress and offer support before the user asks. 24-person study. Mental health chatbots all share the same limitation: the user has to reach out first. That is not always easy when someone is stressed, anxious, or unable to articulate how they feel. Researchers at the University of Ottawa are building an AI assistant called UbiMyTherapist that flips the model. It reads emotional cues in real time from devices people already wear, including smartwatches, smartphones, and earbuds, and offers support before the user asks. The system pulls physiological signals such as heart rate variability, changes in speech tone, and written text to assess a user's emotional state. It then builds what the researchers call a "digital twin," a profile that combines the person's medical and psychological history with live emotional data. That context helps the assistant respond in a personalised way rather than delivering generic chatbot replies. UbiMyTherapist operates in two modes. A reactive mode responds when a user reaches out. A proactive mode monitors emotional distress through live signals and intervenes before the user initiates contact. The reactive mode was evaluated with 24 participants, and licensed therapists assessed its therapeutic soundness. The university says the system scored well on empathy and personalisation compared with standard large language model setups. Digital psychotherapy tools have been gaining traction as the gap between mental health demand and therapist availability widens globally. The researchers are not positioning UbiMyTherapist as a replacement for human therapy. It is designed to extend mental health support beyond clinics, particularly for people who face barriers such as cost, stigma, or limited access to care. The team plans to improve the prototype so it can respond in real time to smartwatch signals and is working with licensed therapists to ensure clinical accuracy. The concept sits at the intersection of two growing categories: AI-powered health monitoring and wearable devices that infer health states from surface-level biosignals. Both are attracting significant investment, though both face the same fundamental challenge: proving that passive physiological data can reliably inform clinical-grade interventions. UbiMyTherapist is still a research project, not a consumer app. But a system that detects distress from a wristwatch and responds before the user types a word points to where proactive AI health tools are heading.

Doctors built an AI stress pal that picks body signals form your smartwatch and earbuds

This AI therapy system prototype can spot when you need help even before you ask There are already plenty of mental-health chatbots online, but they all run into the same problem. The user still has to reach out first. That is not always easy when someone is stressed, anxious, overwhelmed, or simply unsure how to put their feelings into words. Researchers at the University of Ottawa are working on a different kind of AI assistant. It is designed to read emotional cues in real time through signals from devices people already use, including smartwatches, smartphones, and earbuds. It does more than wait for a message The system is called UbiMyTherapist, short for "You Be My Therapist." It works as a digital therapy assistant that can provide both reactive and proactive support. In simple terms, it can respond when a user reaches out, but it is also designed to monitor emotional distress through live signals and offer support before the user asks for help. Recommended Videos The system pulls emotional data from several sources. It uses physiological signals such as heart rate variability, changes in speech tone, and written text to assess a user's emotional state. Those inputs help the assistant understand how the person may be feeling in the moment before it generates a response. UbiMyTherapist also builds a "digital twin" of the user. This profile brings together the person's medical and psychological history, and live emotional-state data. The added context helps the assistant respond in a more personal and relevant way instead of relying on generic chatbot-style replies. According to the University of Ottawa, the system's reactive mode was evaluated with 24 participants. Licensed therapists also assessed its therapeutic soundness. The university says UbiMyTherapist scored well on empathy and personalization compared with standard large language model setups. It is not meant to replace therapists The researchers are not pitching UbiMyTherapist as a replacement for human therapy. It is being developed as a way to extend mental-health support beyond clinics, especially for people who face barriers such as cost, stigma, or limited access to care. The team plans to improve the prototype so it can respond in real time using signals from a user's smartwatch. It also plans to work with more licensed therapists to make sure the system stays clinically accurate. For now, UbiMyTherapist is still a research project, not a consumer app. Still, it offers a glimpse of AI being used for something practical and genuinely helpful.