I direct research and development of interaction technologies based on advancements in display technology, low-power and high-speed sensing, wearables, actuation, electronic textiles, and human—computer interaction. I am passionate about accelerating innovation and disruption through tools, techniques and devices that enable augmentation and empowerment of human abilities. Research interests include augmented reality, ubiquitous computing, mobile devices, 3D user interfaces, interaction techniques, interfaces for accessibility and health, medical imaging, and software/hardware prototyping.

These projects are from collaborations during my time at different research labs, including Google Research, MIT, Columbia University, University of California, KTH (Royal Institute of Technology), and Microsoft Research. I have taught at Stanford University, Rhode Island School of Design and KTH.

Research Projects Publications Google Scholar Open Source
Alex Olwal, Ph.D.
Staff Research Scientist, Google
olwal [at] acm.org
Alex Olwal

Silent Speech
SilentSpeller enables mobile silent texting using a dental retainer with capacitive touch sensors to track tongue movement. Users type by spelling words without voicing. In offline isolated word testing on a 1164-word dictionary, SilentSpeller achieves an average 97% character accuracy.
Mobile, Hands-free, Silent Speech Texting Using SilentSpeller
Kimura, N., Gemicioglu, T., Womack, J., Li, R., Zhao, Y., Bedri, A., Olwal, A., Rekimoto, J., and Starner, T.
CHI 2021 Extended Abstracts (SIGCHI Conference on Human Factors in Computing Systems), Virtual Event, May 8-13, 2021, pp. 1-5, Article 178.

CHI 2021
PDF [16MB]