DreamWeave
Unleash the power of your dreams with our smart pillow and app, designed to enhance your sleep experience by analyzing and interpreting your dream world.
DreamWeave blending the comfort of a smart pillow with the sophistication of an intuitive app which intend to change the way the user understand and interact with our sleep and dreams. Dreamweave a personal sleep and dream consultant. This project aims to foster deeper self-awareness and emotional well-being by unlocking the mysteries hidden in user's sleep, making every night’s rest a journey of discovery.
"DreamWeave posits that integrating sleep data analysis with dream interpretation will markedly improve sleep quality and emotional insight, fostering a deeper connection between well-being and the subconscious.‘
The exploration of dreams has long fascinated us, yet remains a largely uncharted territory in personal health.
This phenomenon is compounded by the fact that, as per research from the UCB, dreams play a crucial role in emotional processing. Recognizing this gap, DreamWeave was born out of the need to capture and analyze these fleeting but significant subconscious experiences. Our goal is to leverage advanced sensor technology alongside a user-friendly app to not only record but also interpret dreams, aiding in the recall that often seems elusive during daytime hours. With DreamWeave, we aim to unlock the potential of dreams as a tool for emotional insight and self-discovery, addressing a need that has been largely overlooked by traditional sleep tracking technologies.
Competitors Analysis
User Flow
Pillow Prototype
By studying various sleeping positions including Spine, Lateral, and Fetal, I sketched out the body's contours and pressure points in each posture. This ergonomic research informed the design of the DreamWeave pillow, leading to a prototype that adapts seamlessly to different sleeping styles for optimal support and comfort
Sleeping Timeline
This diagram illustrates the optimal placement of temperature, humidity, and CO2 sensors in relation to a user's changing positions during sleep. It aims to identify the most effective locations for each sensor to accurately capture environmental and physiological data throughout the night.
