awayenberg

Hi this is a very good question. Maintaining security and privacy of our customers is one of our top concerns and a continuous effort.

We will remove the “private parts” data at the firmware level. We will also give the user the possibility to anonymize other parts of their scans (like the face). This happens at the lowest possible level in the system making those concerns low.

IoT has been giving a bad rep lately mostly due because the stacks that are running on embedded devices are difficult to fix for vulnerabilities, especially if they are using a custom OS that does not receive fixes for vulnerabilities. We are using an embedded Linux platform that receive fixes for vulnerabilities and those fixes are continuously pushed to your ShapeScale.

Shape servers protect users' most sensitive data at rest using 256-bit AES keys and encrypt all data in motion with 128-bit AES SSL/TLS encryption or better.

Your data is broken up and tied to anonymous IDs, making it extremely hard for humans and extruders to tie your scanning data back to you. In addition, we take commercially reasonable steps to protect data that we collect through our Services against unauthorized access.

We are working on the before-and-after picture but we are working so hard it may be the other way around. Kind of an after-and-before if you want. Joke aside we intend to share stories of us in the future.

Martin /u/thirru still owes me a six pack, he is going to get it and you will see his shape transformation in our blog.

I’m getting pretty fat right now to show off some good transformation. Stay tuned.

We have been getting this question from disabled users, all their readings on traditional scales are off.

Because we use volume and density we can make it work. While this won’t be implemented on release, it’s a function that we will push through a software update.

Fitness is even more important for disabled people. They need to exercise to stay healthy. We care about that.

Hi we are measuring the weight and volume and topology of body parts. While I cannot share our secret sauce, there are several scientific articles talking about the subject and how the method correlate to DXA and scans. Here are couple of these articles :

"Clinical anthropometrics and body composition from 3D whole-body surface scans" - BK NG, BJ Hinton, B Fran, AM Kanaya, JA Sheperd - European of Clinical Nutrition - https://www.nature.com/ejcn/journal/v70/n11/full/ejcn2016109a.html

"Predictive equations for central obesity via anthropometrics, stereovision imaging, and MRI in adults" - Jane J Lee, Jeanne H Freeland-Graves, M Reese Pepper, Ming Yao, and Bugao Xu The - University of Texas at Austin (JJL, JFG, BX, MY, BX), Department of Nutritional Sciences (JJL, JFG), School of Human Ecology (MY, BX); MedStar Georgetown University Hospital (MRP) - https://www.ncbi.nlm.nih.gov/pubmed/23613161

"Validation of a 3-dimensional photonic scanner for the measurement of body volumes, dimensions, and percentage body fat" - Jack Wang, Dympna Gallagher, John C Thornton, Wen Yu, Mary Horlick, and F Xavier Pi-Sunyer - American Journal of Clinical Nutrition - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2723741/

The name of the mannequin is Paul and it was inspired by Paul Graham from Y Combinator. I can tell you, he is an inspiration to all the startup founders, so you are definitely not f%$ing with him. Paul plays a lot with ShapeScale but he keeps getting frustrated not seeing any progress. The hard life of a mannequin.

We have a lot of other applications in mind. Actually there are so many application that we will be looking at enable them through an API. We have actually thought about clothing, Tinder, Skin cancer (indeed need FDA for the alerting part), customized furnitures, VR / AR social networks, Mixed reality sports coaching, surgery, prothesis, etc