Human Activity Recognition

Human Activity Recognition

Suraj Ravishankar

Suraj Ravishankar

Tempe, Arizona

Human Activity Recognition which use sensors to recognize human actions, have been studied for a long time to produce a simpler system.

Android, Artificial Intelligence, Internet of Things

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Description

Human Activity Recognition which use sensors to recognize human actions, have been studied for a long time to produce a simpler system with higher precision. However, there are a very limited number of projects that investigate a human activity recognition system built right on the smartphone. A great advantage of this integrated system is the real time and full time supervision. The human activities recognition built right in a smart phone promises to open up a new direction not only in monitoring and health care but also in other fields. Smartphones are going to get more popular in the world over the next five years. According to Ericsson's mobility report, there will be a massive jump from the 2.6 billion smartphone users recorded in 2014 to 6.1 billion by 2020. These smartphones are also equipped with a lot of sensors. In detail, accelerometer sensor measures acceleration in three orthogonal axes. All of objects in the Earth are affected by the gravity. The linear acceleration measures the acceleration effect of the device movement, excluding the effect of Earth's gravity on the device. The gyroscope uses Earth’s gravity to help determine orientation of smartphone. Thus, the idea of utilization of these sensors to make a smartphone application for human activities recognition became more realistic. Android is the most popular mobile OS in the world with more than 82% phones running on it and with Google’s continuously improving features by listening to feedback from its users, it is only going to get more popular. In Android, Google has introduced a set of APIs (Application Programming Interface), which allow the developer to connect Google services to their Android phone for receiving the human activity recognition results. Google API can recognize six type of activities which include “in vehicle”, “on bicycle”, “on foot”, “running”, “still” and “walking”. However, this system required the connection to Google server inorder-to send the requests and receive the results.

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Isaac O. updated status

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Isaac Olaniyi

working on an AI chatbox that help teach programming to newbies by providing templates, solutions, guidance and periodical evaluation of each students

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Peter M. created project Smart City Air Monitor

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Smart City Air Monitor

Smart City Air Monitor uses air quality sensor attaching to the vehicle to monitor the air quality through out the city. This idea originally came from Pigeon Air Patrol, where they use pigeon to monitor air quality in London. We believe that using our own cars would have much better results. A pubnub will be sending push notifications for those who enters the polluted areas. It would provide 3 major benefits

1) For the drivers, they can now avoid heavily polluted areas and find alternative routes, it also allows them to monitor pollution during time of the day.

2) The drivers now are also providing the air quality data to the city so that everyone else can plan their days around it.

3) The city now knows where the most heavily polluted areas are, so that they can install air filters, trees, or simply signs to warn other citizens the general air quality around that area.

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Phil C. updated status

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Phil Carlisle

I'm a researcher who's PhD is in the area of Digital Actors (mainly for videogames/interactive storytelling). So I'm looking at technology that will help drive advances in Digital Actor behavior and production.

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Filip C. updated status

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Filip Ceglik

Hello

My name is Filip and I recently started my amazing adventure with artificial intelligence and I am loving it! I have lots of ideas for making life easier or at least more amazing and breathtaking. My main goals are to make AI's for medical purposes like identifying tumors, etc. Automated self driving cars, face identification and more. Also I am hobbyist game developer and in this area, there are lots of things to push AI into. At the moment I am working on a program which can identify a brain tumors from MRI's photos. I am super excited for working in AI area and hope that I am going to achieve these goals.

Have a nice day guys and I wish you good luck with your projects.

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Ali R. created project my dream Project !

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my dream Project !

Sorry if it is shocking for you :( but as an engineer working in automotive Industry I deeply feel myself responsible about it: According to WHO statistics, there are yearly around 1,2 million deaths in roads all over the globe. It means daily ~3500 people are lost. A very needed usage of AI is developing algorithms and designing systems which help drivers avoid mistakes. My dream project is something which will be installed on autos and reduces the number above.

If you are also interested in this topic I would like to be in contact with you, share what I know and know what the others think/do.

the images of this decreiption : http://monotonecritic.com/wp-content/uploads/2017/06/Advanced-Driver-Assistance-Systems-ADAS-Market-e1498045162384.jpg

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