Steve Mann: Pioneer of Wearables and Extended Reality

Though head-mounted computer systems haven’t reached smartphone-level ubiquity, when Mann wears XR (eXtended Reality, one thing he and Charles Wyckoff invented at MIT in 1991) gear lately as a professor {of electrical} and computer engineering, pc science, and forestry on the University of Toronto, he doesn’t flip as many heads as he used to.

Partly due to his inventiveness and creativity, the IEEE Fellow was honored for his contributions to wearable computing and the idea of sousveillance—the apply of utilizing private recording units to observe the watchers and invert conventional surveillance energy constructions—with this yr’s IEEE Masaru Ibuka Consumer Technology Award. Sponsored by Sony, the award was bestowed by the IEEE Consumer Technology Society on the Consumer Electronics Show held in January in Las Vegas.

Mann is considered the “father of wearable computing.” Requested what he thinks in regards to the moniker, he says it’s much less in regards to the title and extra about empowering individuals to see the world—and themselves—in new methods.

His analysis and systematic reimagining of how digital units can help and prolong human talents, particularly imaginative and prescient, have yielded advantages for society. Amongst them are aiding the visually impaired with the power to establish objects and enabling consultants to remotely view what frontline employees see after which information them from afar.

His IEEE award got here one month after he obtained the Lifeboat Foundation’s Guardian Award, given to a scientist or public determine “who has warned of a future fraught with risks and inspired measures to stop them.” The inspiration is a nonprofit, nongovernmental group devoted to encouraging scientific developments whereas serving to humanity survive existential dangers and doable misuse of more and more highly effective applied sciences together with genetic engineering, nanotechnology, and robotics/AI.

A natural-born tinkerer

It stands to motive that Mann would change into a number one tinkerer. His earliest reminiscences are of welding together with his grandfather and knitting together with his grandmother—uncommon hobbies for a typical 4-year-old, although not in Mann’s household. His father, who labored for a males’s clothes firm, supplemented his revenue by shopping for and renovating homes, lengthy earlier than the idea of flipping houses grew to become widespread.

“We had been all the time dwelling in a home underneath development,” Mann recollects. “I used to assist my dad sort things after I was 4 or 5—hammer in my hand—regular stuff.” His grandfather, a refrigeration engineer, taught him the best way to weld. By age 6, he was wiring and constructing selfmade radios. By the point he was 8, he had began a neighborhood restore enterprise, fixing televisions and radios.

“In a way, preschool for me was studying engineering and science,” Mann says with fun. “I grew up placing collectively wooden, metallic, or material. I knew the best way to make issues at a really younger age.”

Studying to see what others miss

When Mann was 12 years outdated, his father introduced residence a damaged oscillograph (an early model of the oscilloscope, used to show variations in voltage or present as visible waveforms). It turned out to be a defining second in his life. Too impatient to just accept that the waveform dot on the machine’s show moved solely up and down as a substitute of each vertically and horizontally, Mann invented a solution to push its picture via bodily house.

He positioned the oscillograph—which he now retains on a shelf in his laboratory—on a board mounted on curler skate wheels. He related the system to a police radar and rolled it backwards and forwards. When he realized the machine’s movement, mixed with the dot’s vertical motion, created seen waveforms of the radar’s alerts, as a perform of house fairly than time, he unknowingly made a revolutionary discovery.

Later he would describe that merging of bodily and virtual worlds as “prolonged actuality”—an idea that underlies as we speak’s AR and XR applied sciences. It wouldn’t be the final time Mann’s curiosity turned an issue into a possibility.

Many years later, on the principle flooring of his Toronto residence, he co-founded InteraXon, the Toronto-based firm behind the Muse brain-sensing headband, used to assist individuals handle sleep, stress, and mental health.

Mann shares legendary Nineteen Seventies Xerox PARC researcher Alan Kay’s perception that “The best way to predict the future is to invent it.” Mann, nevertheless, provides: “Typically you invent it by merely refusing to just accept the constraints of the current.”

A member of MIT’s Media Lab

In highschool, Mann received a number of math competitions designed to problem college students at college stage. In 1982 he enrolled in McMaster University, in Hamilton, Ontario, to pursue a level in engineering physics (an interdisciplinary program that mixes physics, mathematics, and engineering rules). As an undergraduate, Mann was already experimenting with early prototypes of wearable computer systems—head-mounted shows, body-worn cameras, and moveable computing programs that predated mainstream cell tech by a long time.

Mann [far right] sits alongside fellow MIT Media Lab graduate college students, modeling the wearable computers or smart clothes they had been growing as a part of their Ph.D. analysis. Pam Berry/The Boston Globe/Getty Photos

He earned a bachelor’s diploma in 1986. He continued his research at McMaster to earn a second bachelor’s diploma in electrical engineering in 1989, then a grasp’s diploma in engineering in 1991.

He then enrolled in a doctoral program at MIT, the place he joined its famend Media Lab, a hotbed for unconventional analysis mixing expertise, design, and the human expertise. He formalized and expanded his concepts round wearable computing, wearable pc imaginative and prescient programs, and wearable AI. He additionally printed a number of the earliest educational papers that described the idea of sousveillance.

He accomplished his Ph.D. in media arts and sciences in 1997.

Mann’s doctoral analysis contributed foundational ideas and {hardware} that influenced future smart glasses and units for all times logging, the apply of making a digital document of 1’s each day life. He additionally helped blaze a path for the fields of augmented reality and ubiquitous computing.

Knitting passions into a singular educational profession

After finishing his Ph.D., Mann returned to Canada and took a place on the College of Toronto as a professor {of electrical} and pc engineering in 1998. He says he’s equally as fascinated by how expertise interacts with the pure world as he’s by the best way to take away obstacles between the bodily world and virtual world.

His pursuits connect with what he calls “vironmentalism,” which regards expertise as a boundary between our surroundings and our “vironment” (ourselves). This offers rise to his imaginative and prescient of “mersive” applied sciences that hyperlink people not simply to one another but additionally to the surroundings round them.

“Transcend [what’s covered at] faculty. Outline your self by what you’re keen on a lot you’d do it [even if no teachers or managers were demanding it]. AI can substitute a strolling encyclopedia. It might’t substitute ardour.”

“It’s advancing expertise for humanity and Earth,” he says, riffing on IEEE’s mission assertion. His tenet additionally explains his cross-appointment within the College of Toronto’s forestry division (now a part of the College of Structure, Panorama, and Design)—an uncommon entry on {an electrical} and pc engineering professor’s CV.

IEEE and constructing group

Previous to his groundbreaking doctoral work at MIT, Mann had already joined IEEE in 1988. He credit the group with connecting him to pioneers like Simon Haykin, the radar visionary he met at McMaster whereas he was in highschool. Haykin pushed him to dream large, he says.

Mann has been energetic within the IEEE Computer and IEEE Consumer Technology societies. He has served as an organizer, session chair, and program committee member for IEEE conferences associated to wearable computing and pervasive sensing.

In 1997 he helped discovered the International Symposium on Wearable Computers, and quite a few different wearable computing symposia, conferences, and occasions.

He has given keynote talks and offered papers on matters together with sousveillance, ubiquitous computing, and different humanistic elements of expertise on the IEEE International Symposium on Technology and Society and the IEEE International Conference on Pervasive Computing and Communications.

His contributions embody influential papers in IEEE journals, particularly varied IEEE Transactions and Laptop Society magazines.

In all probability his most well-known paper is “Wearable Computing.” Revealed in Computer journal in October 1997, the seminal work outlined the construction and imaginative and prescient for wearable computing as a proper analysis area. He additionally contributed articles on sousveillance—exploring the intersection of expertise, ethics, and human rights—in IEEE Technology and Society Magazine.

He has collaborated with different IEEE members to develop frameworks for wearable computing standards, notably round human-computer interfaces and privateness issues.

Eternally the inventor

Mann continues to show, run his lab, and take a look at new frontiers of wearable devices, smart clothing, and immersive environments. He’s nonetheless pushed, he says, by the identical forces that powered his yard experiments as a baby: curiosity and fervour.

For college students who hope to comply with in his footsteps, Mann’s recommendation is straightforward: “Transcend [what’s covered at] faculty. Don’t outline your self by the courses you took or the roles you had. Outline your self by what you’re keen on a lot you’d do it “even when no academics or managers had been demanding it”. He provides that, “AI can substitute a strolling encyclopedia. It might’t substitute ardour.”

Mann says he has no plans to retire. If something, he says, his most efficient years are but to come back.

“I really feel like I’m a late bloomer,” he says, chuckling on the irony. “I used to be fixing radios after I was 8, however my finest work? That’s going to occur between 65 and 85.”