Difference between revisions of "Autonomous Smart Watches: Hardware and Software Desing"
From iis-projects
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− | [[File: | + | [[File:esnik.jpg|400px|right|thumb]] |
==Short Description== | ==Short Description== | ||
− | Wearable technology is gaining popularity, with people wearing everything “smart” from clothing to glasses and watches. | + | Wearable technology is gaining popularity, with people wearing everything “smart” from clothing to glasses and watches. One of main application domains for wearble device, with growing importance, is the monitoring of the human body parameters. In fact, this can have a important impact in health care wellness and sports, and others. In all of these application scenarios, long terms monitoring of the physiological parameters is important for preventing risking efforts for people but also to give performance information (i.e. Sport) and in general to maintain a good healthy state. In this project the students can deal with design, implementation and in-field evaluation of a novel e-sking sensors and ultra low power smart bracelet powered by energy harvesting. The main goal is to achieve a long term monitoring of the parameters, acquire them with the on board microcontroller and eventually process them (with machine learning algorthms) directly on board or sending them in a remote host (i.e. a smart phone or PC). |
− | + | The proposed project will be coordinated in collaboration with the Wearable group of prof. Troester. | |
===Status: Available === | ===Status: Available === | ||
− | * Looking for Semester Project Students | + | * Looking for Semester and master Project Students |
: Supervisors: [[:User:magnom|Michele Magno]] | : Supervisors: [[:User:magnom|Michele Magno]] | ||
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: Interest in Computer Architectures at system level | : Interest in Computer Architectures at system level | ||
: PC or Smart-phone programming | : PC or Smart-phone programming | ||
− | : Knowledge of machine learning would be beneficial (i.e. semester project or exam done in Wearable system I) | + | : Knowledge of machine learning would be beneficial (i.e. semester project or exam done in Wearable system I prof. Troester) |
===Character=== | ===Character=== |
Revision as of 11:57, 28 July 2015
Contents
Short Description
Wearable technology is gaining popularity, with people wearing everything “smart” from clothing to glasses and watches. One of main application domains for wearble device, with growing importance, is the monitoring of the human body parameters. In fact, this can have a important impact in health care wellness and sports, and others. In all of these application scenarios, long terms monitoring of the physiological parameters is important for preventing risking efforts for people but also to give performance information (i.e. Sport) and in general to maintain a good healthy state. In this project the students can deal with design, implementation and in-field evaluation of a novel e-sking sensors and ultra low power smart bracelet powered by energy harvesting. The main goal is to achieve a long term monitoring of the parameters, acquire them with the on board microcontroller and eventually process them (with machine learning algorthms) directly on board or sending them in a remote host (i.e. a smart phone or PC).
The proposed project will be coordinated in collaboration with the Wearable group of prof. Troester.
Status: Available
- Looking for Semester and master Project Students
- Supervisors: Michele Magno
Prerequisites
- C Language
- Interest in Computer Architectures at system level
- PC or Smart-phone programming
- Knowledge of machine learning would be beneficial (i.e. semester project or exam done in Wearable system I prof. Troester)
Character
- 30% Theory
- 50% Implementation
- 20% Testing