MeCap: Whole-Body Digitization for Low-Cost VR/AR Headsets
Authors
Low-cost, smartphone-powered VR/AR headsets are becoming more popular. These basic devices – little more than plastic or cardboard shells – lack advanced features, such as controllers for the hands, limiting their interactive capability. Moreover, even high-end consumer headsets lack the ability to track the body and face. For this reason, interactive experiences like social VR are underdeveloped. We introduce MeCap, which enables commodity VR headsets to be augmented with powerful motion capture (“MoCap”) and user-sensing capabilities at very low cost (under $5). Using only a pair of hemispherical mirrors and the existing rear-facing camera of a smartphone, MeCap provides real-time estimates of a wearer’s 3D body pose, hand pose, facial expression, physical appearance and surrounding environment – capabilities which are either absent in contemporary VR/AR systems or which require specialized hardware and controllers. We evaluate the accuracy of each of our tracking features, the results of which show imminent feasibility.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 67%
How Relevant are Incidental Power Poses for HCI?
CHI '18· Full-Body Interaction & Embodied Input +1
- 67%
KeyTime: Super-Accurate Prediction of Stroke Gesture Production Times
CHI '18· Full-Body Interaction & Embodied Input +1
- 67%
DMove: Directional Motion-based Interaction for Augmented Reality Head-Mounted Displays
CHI '19· Full-Body Interaction & Embodied Input +1
- 67%
The Dissimilarity-Consensus Approach to Agreement Analysis in Gesture Elicitation Studies
CHI '19· Full-Body Interaction & Embodied Input +1
- 67%
Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning
CHI '20· Full-Body Interaction & Embodied Input +1
- 67%
Pose-on-the-Go: Approximating User Pose with Smartphone Sensor Fusion and Inverse Kinematics
CHI '21· Full-Body Interaction & Embodied Input +1
- 67%
Tailor Twist: Assessing Rotational Mid-Air Interactions for Augmented Reality
CHI '23· Full-Body Interaction & Embodied Input +1
- 67%
HAI-AR: Exploring Hand-Anchored Interfaces in Augmented Reality while Walking
CHI '25· Full-Body Interaction & Embodied Input +1
- 67%
The Effect of Augmented Reality on Involuntary Autobiographical Memory
CHI '25· Human Pose & Activity Recognition +1
- 67%
AR You on Track? Investigating Effects of Augmented Reality Anchoring on Dual-Task Performance While Walking
CHI '25· Full-Body Interaction & Embodied Input +1
Based on Jaccard similarity of research subtopics & professions (≥60%)