This presentation outlines the design of the Kenpo App, including wireframes, workflows, use cases, and a use case diagram. It also asks what should come next in the development process.
This document summarizes an approach for adapting a collaborative robot (cobot) workstation to human operators with different skills using a deep learning camera. The approach uses a camera and deep learning to recognize human operators and access their profile, which contains data like preferred speed. This profile is then used to adapt the robot's speed and behavior to the specific operator. The approach was implemented using an ABB YuMi cobot, Amazon DeepLens camera, AWS cloud services for facial recognition and data storage, and tested for accuracy and speed of recognition and adaptation. The results showed over 100% accuracy in operator recognition with average adaptation times of 12 seconds.
Talk given at Square WomEng for Hear + Now 2019 (https://hearandnow2019.splashthat.com), a "lightning talk series that gives a voice to traditionally marginalized groups within the tech industry."
Creating your first data science experiment in azure machine learning studioJasjit Chopra
Delivered for #aOSMumbai as a level 101 session on getting started with Azure Machine learning studio.
In this session we showed how to predict the price of a car.
This document discusses the business plan for White Tiger Kenpo Jujits, a martial arts school focusing on private lessons for adults. It identifies problems with traditional group class models, such as feeling embarrassed or learning at the pace of the group. The business aims to teach private lessons at group rates for students ages 13 and older, at their own pace and schedule. The target market is adults aged 18-30 seeking self-defense training. Startup expenses are low since lessons will be held in a converted pole barn, requiring little equipment or supplies.
The Kenpo App is a proposed mobile app that would provide revision materials for students of Ed Parker's Kenpo Karate. It would include interactive technique sheets, audio simulations of gradings, video tutorials, and quizzes to test knowledge. The app is meant for revision only, not teaching, and would require security measures to prevent non-practitioners from accessing full techniques. Feedback from potential users was generally positive and suggested additional features like audio tracks testing stances and combinations. Risks include non-practitioners hurting themselves without proper in-person instruction, the developer's lack of coding experience, and the possibility that an app cannot fully convey Kenpo instruction.
The document discusses preproduction planning for a project. It recommends breaking big tasks into little ones and knowing the workflow to avoid drowning. It also suggests getting the end goal and requirements figured out before starting work, such as determining sprite needs before choosing a game type. In hindsight, it may have been better to pick a different game for the project.
This document provides incomplete steps for uploading a game but does not fully explain what to do in step 2. It mentions beta testers in step 3 but lacks details. The additional text is unrelated and does not provide any more information about the game upload process.
This document summarizes an approach for adapting a collaborative robot (cobot) workstation to human operators with different skills using a deep learning camera. The approach uses a camera and deep learning to recognize human operators and access their profile, which contains data like preferred speed. This profile is then used to adapt the robot's speed and behavior to the specific operator. The approach was implemented using an ABB YuMi cobot, Amazon DeepLens camera, AWS cloud services for facial recognition and data storage, and tested for accuracy and speed of recognition and adaptation. The results showed over 100% accuracy in operator recognition with average adaptation times of 12 seconds.
Talk given at Square WomEng for Hear + Now 2019 (https://hearandnow2019.splashthat.com), a "lightning talk series that gives a voice to traditionally marginalized groups within the tech industry."
Creating your first data science experiment in azure machine learning studioJasjit Chopra
Delivered for #aOSMumbai as a level 101 session on getting started with Azure Machine learning studio.
In this session we showed how to predict the price of a car.
This document discusses the business plan for White Tiger Kenpo Jujits, a martial arts school focusing on private lessons for adults. It identifies problems with traditional group class models, such as feeling embarrassed or learning at the pace of the group. The business aims to teach private lessons at group rates for students ages 13 and older, at their own pace and schedule. The target market is adults aged 18-30 seeking self-defense training. Startup expenses are low since lessons will be held in a converted pole barn, requiring little equipment or supplies.
The Kenpo App is a proposed mobile app that would provide revision materials for students of Ed Parker's Kenpo Karate. It would include interactive technique sheets, audio simulations of gradings, video tutorials, and quizzes to test knowledge. The app is meant for revision only, not teaching, and would require security measures to prevent non-practitioners from accessing full techniques. Feedback from potential users was generally positive and suggested additional features like audio tracks testing stances and combinations. Risks include non-practitioners hurting themselves without proper in-person instruction, the developer's lack of coding experience, and the possibility that an app cannot fully convey Kenpo instruction.
The document discusses preproduction planning for a project. It recommends breaking big tasks into little ones and knowing the workflow to avoid drowning. It also suggests getting the end goal and requirements figured out before starting work, such as determining sprite needs before choosing a game type. In hindsight, it may have been better to pick a different game for the project.
This document provides incomplete steps for uploading a game but does not fully explain what to do in step 2. It mentions beta testers in step 3 but lacks details. The additional text is unrelated and does not provide any more information about the game upload process.
This document outlines a proposed mobile app called the Food Map that would provide information about restaurant locations, foods available, and dietary requirements. The app would use HTML5, JavaScript, MySQL, PHP, and other technologies to allow users to search for restaurants that meet dietary needs like being gluten-free, vegetarian, vegan, or for managing diabetes. It would display locations on Google Maps and link to restaurant websites and social media pages. Maintenance of the up-to-date restaurant data would be required on an ongoing basis.
Fabrizio, Marc and Sarah worked on various preparatory tasks for their next game milestone. This included extracting sound files from YouTube and converting formats, creating sprite sheets for enemies by flipping existing sprites, modifying existing sprites, rendering sprite animations, adding new sounds, fixing bugs with jumping, and developing creeping and crouching animations.
The team of Fabrizio, Marc and Sarah decided to modify their Prince of Persia mod to use sprites and sounds from the Mac version of the game rather than the 1989 version. Marc created 2D backgrounds by rendering 3D elements, while Sarah sourced sprites and cut up sound files. Fabrizio implemented the gameplay in Game Maker, going through several iterations to resolve issues with sprite animations, physics, and collisions.
The document outlines the team that developed the Feed Me App, which was initially conceived by Sarah as an app to help people with dietary requirements find restaurant options. The full team then worked together to expand the app's scope and build out its functionality, conducting surveys, gathering restaurant data, and having Bernard program a prototype. The app is intended to help users with dietary requirements like gluten free, vegan, vegetarian, or raw food eat out at restaurants by providing relevant meal information ahead of time.
This document summarizes playtesting and design changes made to a zombie board game. Key changes included:
1) Adding family-specific event cards that players could collect for returning characters home, to incentivize this action.
2) Creating an external board where players would move pieces forward each time returning a character home, with the first to reach the end winning. This board also tracked day/night cycles.
3) Revising event cards to allow players to choose which family was negatively impacted, adding more conflict and fun.
1) The document describes playtesting a zombie board game with different family units that each had unique rules governing their movement.
2) Additional rules were added like special zombies, event cards, and character-specific abilities but these made the game too complex and reduced the fun.
3) The game was stripped back to the original basics with all families having 4 standard characters and no special rules or safe zones to reduce complexity and improve playability.
This document summarizes the rules for a zombie board game involving four families competing to get all of their members home safely first. Key points include:
- Each player controls six family members on the board and must use dice rolls to navigate zombies and return home.
- Zombies can only move forward in lines and reappear at the helipad, while humans can move forward/sideways but not over each other.
- If a zombie reaches a human they become infected and can't move, but other players can then control the piece.
- Players found stopping to clarify rules disrupted gameplay and more zombies were needed to increase difficulty once existing zombies were eliminated.
Hugh's daughter is getting married. Hugh has to figure out how long he has to get all the women to the wedding on time for his daughter's entrance. There are 30 squares in the picture representing minutes, so Hugh has 30 minutes. Unfortunately, a zombie outbreak occurred and they all died. The story then takes a turn involving zombies and weapons to fight them off to make it to freedom and find the groom among zombie twins.
The document contains several puzzles and logic problems involving numbers, shapes, colors, and comparisons. It asks the reader to determine who can go on a date based on ages; make numbers add up to a certain value; draw shapes to meet certain criteria; calculate how many people can eat a certain food based on allergies; name body parts; count squares; identify differently colored squares; and determine how many belt levels one must advance to be better than someone else.
Barry will date either Mary or Rachel, as they are both within his socially acceptable age range of 32. A one line diagonal red line can form the shape of a Q. Moving two sticks can create two sets of three triangles. Thirty squares are depicted in the picture, which are formed from the board squares, outside/inside squares, corner squares, center line squares, and corner triangles. None of the small squares are a different color, as any perceived difference is just an optical illusion. Three belts are needed, as the ranking goes Purple, Blue, Green, and Brown, and the next belts needed are Green and Brown.
The document discusses different options for a sushi restaurant regarding game style, ease of gameplay, reservation methods, and use of a recipe book, weighing risks and profits for each. It also randomly includes unrelated phrases like "Step One: Steal the Underwear" and "THE BIG BRAIN AM WINNING AGAIN! Yes we khan!"
This document discusses gamifying daily tasks to motivate a person named Megan. It provides the codeword "CUPCAKE" and lists equipment and rules for a laundry basket fact-sharing game involving 2 or more players. Points are awarded for relevant facts and most interesting fact chosen by a third party. The first player to 100 points wins a coffee, pint, or pot noodle. The document suggests using visual progress, prizes, and routines to empower and inspire Megan while reducing stress.
This document outlines a proposed mobile app called the Food Map that would provide information about restaurant locations, foods available, and dietary requirements. The app would use HTML5, JavaScript, MySQL, PHP, and other technologies to allow users to search for restaurants that meet dietary needs like being gluten-free, vegetarian, vegan, or for managing diabetes. It would display locations on Google Maps and link to restaurant websites and social media pages. Maintenance of the up-to-date restaurant data would be required on an ongoing basis.
Fabrizio, Marc and Sarah worked on various preparatory tasks for their next game milestone. This included extracting sound files from YouTube and converting formats, creating sprite sheets for enemies by flipping existing sprites, modifying existing sprites, rendering sprite animations, adding new sounds, fixing bugs with jumping, and developing creeping and crouching animations.
The team of Fabrizio, Marc and Sarah decided to modify their Prince of Persia mod to use sprites and sounds from the Mac version of the game rather than the 1989 version. Marc created 2D backgrounds by rendering 3D elements, while Sarah sourced sprites and cut up sound files. Fabrizio implemented the gameplay in Game Maker, going through several iterations to resolve issues with sprite animations, physics, and collisions.
The document outlines the team that developed the Feed Me App, which was initially conceived by Sarah as an app to help people with dietary requirements find restaurant options. The full team then worked together to expand the app's scope and build out its functionality, conducting surveys, gathering restaurant data, and having Bernard program a prototype. The app is intended to help users with dietary requirements like gluten free, vegan, vegetarian, or raw food eat out at restaurants by providing relevant meal information ahead of time.
This document summarizes playtesting and design changes made to a zombie board game. Key changes included:
1) Adding family-specific event cards that players could collect for returning characters home, to incentivize this action.
2) Creating an external board where players would move pieces forward each time returning a character home, with the first to reach the end winning. This board also tracked day/night cycles.
3) Revising event cards to allow players to choose which family was negatively impacted, adding more conflict and fun.
1) The document describes playtesting a zombie board game with different family units that each had unique rules governing their movement.
2) Additional rules were added like special zombies, event cards, and character-specific abilities but these made the game too complex and reduced the fun.
3) The game was stripped back to the original basics with all families having 4 standard characters and no special rules or safe zones to reduce complexity and improve playability.
This document summarizes the rules for a zombie board game involving four families competing to get all of their members home safely first. Key points include:
- Each player controls six family members on the board and must use dice rolls to navigate zombies and return home.
- Zombies can only move forward in lines and reappear at the helipad, while humans can move forward/sideways but not over each other.
- If a zombie reaches a human they become infected and can't move, but other players can then control the piece.
- Players found stopping to clarify rules disrupted gameplay and more zombies were needed to increase difficulty once existing zombies were eliminated.
Hugh's daughter is getting married. Hugh has to figure out how long he has to get all the women to the wedding on time for his daughter's entrance. There are 30 squares in the picture representing minutes, so Hugh has 30 minutes. Unfortunately, a zombie outbreak occurred and they all died. The story then takes a turn involving zombies and weapons to fight them off to make it to freedom and find the groom among zombie twins.
The document contains several puzzles and logic problems involving numbers, shapes, colors, and comparisons. It asks the reader to determine who can go on a date based on ages; make numbers add up to a certain value; draw shapes to meet certain criteria; calculate how many people can eat a certain food based on allergies; name body parts; count squares; identify differently colored squares; and determine how many belt levels one must advance to be better than someone else.
Barry will date either Mary or Rachel, as they are both within his socially acceptable age range of 32. A one line diagonal red line can form the shape of a Q. Moving two sticks can create two sets of three triangles. Thirty squares are depicted in the picture, which are formed from the board squares, outside/inside squares, corner squares, center line squares, and corner triangles. None of the small squares are a different color, as any perceived difference is just an optical illusion. Three belts are needed, as the ranking goes Purple, Blue, Green, and Brown, and the next belts needed are Green and Brown.
The document discusses different options for a sushi restaurant regarding game style, ease of gameplay, reservation methods, and use of a recipe book, weighing risks and profits for each. It also randomly includes unrelated phrases like "Step One: Steal the Underwear" and "THE BIG BRAIN AM WINNING AGAIN! Yes we khan!"
This document discusses gamifying daily tasks to motivate a person named Megan. It provides the codeword "CUPCAKE" and lists equipment and rules for a laundry basket fact-sharing game involving 2 or more players. Points are awarded for relevant facts and most interesting fact chosen by a third party. The first player to 100 points wins a coffee, pint, or pot noodle. The document suggests using visual progress, prizes, and routines to empower and inspire Megan while reducing stress.