Skin Guardian

This project introduces a wearable device complemented with an app designed to monitor and alert individuals to potential skin picking episodes.

Leveraging advanced sensor technology, the device detects specific characteristic of CSP, providing real-time feedback to disrupt and eventually alter these habitual actions.

This project aims to offer a discreet, empowering tool to those battling CSP, fostering mindfulness and promoting healthier coping mechanisms.

UI/UX Design
Wearable Design

01 Background

Dermatillomania

While we pick our skin from time to time, the impulse control disorder known as dermatillomania is more severe than the occasional pluck of that irritating hang-nail. It is a mental health condition characterized by repetitive picking of one's skin leading to tissue damage as well as functional impairment and/or distress, often known as CSP (compulsive skin picking).

Phenomenon

Under the weight of modern life, some individuals feel overwhelmed and develop psychological issues, manifesting in compulsive skin picking. This behavior is common, but often overlooked. It can go unrecognized even by those suffering from it. Understanding the struggles of those affected can be challenging for those who haven't experienced it themselves.

02 Problem Research

CSP Patients’ Responses

Survey

Pain-point Observation

I invited my roommate who is suffering from Compulsive Skin Picking to do pain-point observation for a week. Here is the vicious circle of the condition.

Problem Analysis

Objective Reasons:

Conclusion:

Compulsive Skin Picking is driven by varied factors and can be managed with a comprehensive approach that include cognitive-behavioral therapy, habit reversal training, monitoring technology-based tools, and a greater public understanding.

03 Medical Research

Habit reversal training (HRT):

Conclusion of disadvantages:

04 Technology Support

Flexible and Wearable Sensor

The Gao Lab at Caltech has created a wearable biosensor that monitors cortisol, a critical indicator of stress and valuable diagnostic for depression, anxiety, and PTSD.

Cognitive-behavioral therapy (CBT):

Traditional Treatment

Artificial Intelligence

The use of deep learning algorithms by training deep neural networks to extract features from GSR signals, such as the number of peaks and maximum peak amplitude can be analyzed to detect stress, which can be a component of emotional states.

Subjective Reasons:

05 Inspiration

Documentary: “Scars of Shame”

Angela's story drives me to create a device and an application to help manage CSP by providing support and a sense of control. The goal is to offer a technological companion that guides users with care.

Stages and Solutions

The combination of real-time monitoring, interactive distractions, and professional consultation offers a holistic approach to managing compulsive skin-picking behavior.

06 Concept

Skin Guardian is an integrated wearable and app system designed to help people with compulsive skin-picking disorder, especially finger pickings. It combines a stress-detecting biosensor with a vibration feature for tactile feedback, aimed at redirecting the urge to pick. The app supports with an Urge Tracker, Activity Wheel, AR Meditation and planned VR therapy. The device's surface is designed for comforting touch for calming. This system provides a sensory substitute for picking, aiding users in their journey to well-being.

07 Model and Coding

Exploration

08 App Wireframe and Prototype

09 USER INTERFACE DESIGN

10 Product Design and Main Functions

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Sensory Map

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SLF Biosolutions