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.

Artificial Intelligence, Android, 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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SAI SRI RAM N. updated status

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SAI SRI RAM NIDAMANURI

Hi guys,this is sriram pursuing B.tech 3rd year 2nd semester in vijayawada.I am presently working on a project which requires machine learning,convolutional neural networks,image processing,python,php and other languages (used for building an website).The main motto of my project includes detecting the objects from a given image.This is pretty hard project for me but more interesting one because this project seperates me from others.I have a team with one member.I asked my teammate to learn numpy,scipy and pandas libraries .I have already installed numpy,scipy , pandasand other libraries without installing anaconda.I am getting many confusions in this project.But finally i have got a better overview about it and my team is currently working on it.I surely believe that my team can complete the project.Finally i have completed some courses like machine learning and presently preparing numpy,scipy,pandas,convolutional neural networks.

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muthu s. updated status

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muthu samy

RFP, Proactive pitch in , blockchain,IOT and Big Data sales pitch and strategies, engage with customers and provide solution design, consulting and recommendations. Provide consulting to customers in identifying Blockchain , IOT and Big Data use cases and then guiding them towards implementation of use cases. Big Data strategic planning, technology roadmap, talent acquisitions and mentor team for cutting edge technology competitiveness such as Hadoop, HIVE, HBase, Cassandra, AWS, Spark, R, big data analytics, data visualizations. Establish and manage governance for the implementation process , related to design of the target organization, production performance and managing change,

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muthu s. updated status

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muthu samy

Working on Trident Techno Minds Business & Emerging Markets Pre-Planning and delivery team for block chain , Internet of things ,Big Data services, strategy engagements with our existing and new customers in Big Data space.

Medium deepme

carmine s. created project EdibleMush

Medium 2812c143 73fb 46ae 8115 2715fe6b7e26

EdibleMush

Currently Ai-based applications are available, but none of these offers a guarantee of truthfulness. Since in nature there are several chameleon mushrooms, the application may not be able to recognize it.

The idea of this project offers a more accurate solution for the mushroom recognition based on 3 different images to uniquely validate the mushroom: Cap, Stem and Gills of Mushroom.

The project involves the application of image recognition techniques based on deepLearning algorithms, for now trained with caffe framework.

Once the prototype environment for the workflow has been developed, specific test and validation datasets will be made for the most common mushrooms.

Furthermore, the use of Movidius in the prototyping phase is envisaged, which uses the training models realized with the help of the colfax cluster to do inference from the edges without the cloud.

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