Haven: Anxiety Relieving Garment
Team: Clarissa Lai, Christine Lai, Charlotte Chang, Fuka Ikeda
Role: Design Engineer
Tree Hacks 2025, 24 Hours
- Arduino
- Wearable Design
- C++
Haven is a fashion-tech garment that integrates ML-driven anxiety detection with real-time physical intervention, providing instant, discreet relief.
According to the American College Health Association, a staggering 66% of college students reported experiencing overwhelming anxiety in the past year. Even more concerning, 41.6% of college students meet the clinical criteria for an anxiety disorder. For our team, we decided to combat this issue when we realized that there was no way to easily manage anxiety during those critical moments. We combined this issue with our passion for fashion tech: what if we created clothing that can help with anxiety? This was the birth of Haven: a smart garment that detects and cares for anxiety.
Haven is a smart garment designed to detect and alleviate anxiety in real time. Using data from pre-your own wearables and biometric sensors embedded within the garment, it continuously monitors physiological indicators like heart rate variability, skin temperature, and breathing patterns. When it detects signs of anxiety—such as an elevated heart rate or erratic breathing—Haven automatically activates its built-in therapeutic mechanisms. These include deep pressure stimulation, mimicking the calming effect of a weighted blanket, and vibration therapy, which provides soothing rhythmic pulses to help regulate stress responses. All of this happens seamlessly, without the need for user intervention, allowing wearers to manage their anxiety discreetly and effortlessly.


