White Still Life

White Still Life. Oil on wood panel. Image and painting credit: Sng Yi Xian Issa
Some learning points

I think the composition succeeds in bringing the viewer’s gaze around from the cups, up to the leg bone and plate, along the diagonal bone and back down to the cups via the shadows.

As I was painting, I did feel that my greys were slightly muted and not ‘poppin‘ enough. Prof Kelly pointed out how I could have used the redder burnt umber in mixing the greys. This would have expanded the range of warm and cool tones in the painting and produced richer greys. I’ll definitely apply this in future paintings!

Glass Pig | Personal Object Still Life

Glass Pig, Oil on wood panel. Image credit: Me
Glass Pig. Oil on wood panel close up. Image credit: Me

This is a still life of a miniature glass pig with a broken behind. Almost every year, my grandmother would give me pig-related gifts. Pig coins, pig figurines, pig paperweights and even pig gag-gifts. Why? She thinks pigs are adorable and it is also my Chinese zodiac. I find this yearly routine very sweet and amusing.

On my 10th birthday, she gave me 10 miniature glass pigs. They were handmade so each piglet had a distinctive look and colour. When playing with them one day, I accidentally dropped one and its curly tail broke off. At the time, I thought it was a great idea to put a band-aid on its butt (for the benefit of the injured pig and whoever handles him). This flesh coloured band-aid remains till this day.

Pigs are often associated with bad qualities like laziness and gluttony. However to me, pigs represent a joyful simplicity and contentment. These chubby creatures bring to mind my loving grandma, and her quirky yearly tradition.

Dubious advisor | Typebot

Dubious Advisor is an early prototype for a typing robot. It is voice-activated and responds to speech and questions by offering dubious advice. Similar to gag gifts such as a Magic 8 ball, it is especially handy for the indecisive, but downsides may include sarcasm and inaccuracy.

Interface and Context

I felt that a voice sensor would make the typebot most ‘human’. As I didn’t have a voice sensor at hand, I accessed the in-built microphone using Max to send data to the arduino. Max would sense if there was a sustained noise (i.e. someone talking or asking the typebot a question). If a sustained silence followed (user is done asking the question), Max would generate a random value to the Arduino and trigger one of the pre-programmed answers. This wouldn’t work as a fully functioning device in different environments but was suitable for the prototype stage!

This typebot has 5 different responses to yes-no type questions. It isn’t actually responding to specific questions but we users suspend our disbelief and buy in to the context.

Construction

 

Parts made using lasercut and MDF!

Panning motor secured to wooden blocks which were then secured to the base. Shaved of part of the cube for wiring. The base was added so the typebot wouldn’t fall back on itself because of the momentum. The laptop is placed on top of the base, so it’s weight would make the structure stable.

The design functioned well  until I started programming the individual alphabets. Although reinforced at 4 points, the disk and panning motor were not firm enough to support the torque from the motor sitting above it. When the ‘finger’ hit the keys, instead of depressing it and typing the letter, the typebot tilted backwards.


To combat this, I removed the disk and attached the ‘elbow’ motor directly onto the panning motor. This made the arm more solid and keys could be triggered. An unforeseen issue that would only have been discovered through execution!

Using the bottom Z-M row as perpendicular to the robotic arm, I calculated the positions for all alphabets and space and enter. Although I started by estimating all the 3 angle inputs for each letter, I soon found out that was impractical for this design. Instead, I estimated the ‘coordinates’ using the extreme values and midpoint of each row. I expected the angle increments between each key to be linear however that also wasn’t the case! I could then calibrated the values from these estimates.