The Diagram as Self Portrait
Korean artist Minjeong An has several more works in this vein, but Self-Portrait (2007), shown here, is my favorite.
Korean artist Minjeong An has several more works in this vein, but Self-Portrait (2007), shown here, is my favorite.
Conversation hearts were always my favorite part of Valentine’s Day. As a kid, I solemnly believed that each one had magical truth-telling and crush-revealing powers. If, like me, you fondly recall the days of girlie giggles and finding valentines in your locker, check out this clay candy heart bracelet tutorial from Lindsay at Delighted Momma. […]
Back at Quilt Market in October, I was particularly excited to get a sneak peek of more needlework love in Anna Maria Horner’s booth. In addition to her gorgeous fabrics, sewing patterns and books, Horner recently released embroidery kits of specially-selected embroidery floss to coordinate with her fabrics. A Quilt Market, though, an even newer […]
If you’re interested in how Arduino assembles their boards, be sure to check out Phil & Limor’s shots of their recent tour of Arduino’s Torino, Italy, operation. I love seeing all of the heavy equipment like the pick & place machines the organization uses.
I saw this awesome origami cat bookmark on How About Orange, then followed the link in Jessica’s post to Jo Nakashima’s Origami Neko Bookmark video tutorial. Curious and in need of a bookmark, I actually watched the video and tried one myself. I’m a complete origami novice, but the steps in the video were really […]
I love the simple beauty of this wood bead necklace from Sally J Shim. It comes together quickly and is something even the kids can help with. [via @abbyglassenberg]
It’s hard not to get excited when you see assistive technology like the sign language interpreting Show and Tell Glove from Tel Aviv area makers Oleg Imanilov, Zvika Markfield, and Tomer Daniel. The glove uses a LillyPad Arduino to sample flex sensors, an accelerometer, and gyro into an ADK board that then talks to an Android app that translates sign language and gestures into written text. To improve performance, a neural network is fed gestures manually to compensate for varying hand sizes directly on the handset. They’re still working out the bugs, but the current results are more than encouraging.