Weight-Loss Program Assistance System for Obesity Patients Based on Internet of Things (IoT) Technology

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
I Gusti Bagus Astawa ◽  
I Ketut Agung Enriko
Keyword(s):  
Weight Loss ◽  
Internet Of Things ◽  
Mobile Application ◽  
Human Life ◽  
Weight Loss Program ◽  
Internet Technology ◽  
Healthcare Sector ◽  
Home Automation ◽  
Index Terms ◽  
Use Of Internet

These days, the use of Internet technology can be found in almost every sector of human life. One of the advanced Internet technologies is Internet of Things (IoT), that is a technology where devices can communicate via Internet connectivity. It is used in many vital industries like automotive, electricity, home automation, and healthcare. This study aims to implement IoT technology for healthcare sector, i.e. in helping obesity people to pursue their weight-loss program (WLP). The result is a system which consists of a smart weight scale, a mobile application, and food menu recommendation database in order to help obesity people in their WLP program. A trial to some obesity patients is performed to collect data. Index Terms—Internet of things; overweight; weight loss program; food recommendation

scholarly journals Internet of Things-Based Intelligent Smart Home Control System

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Olutosin Taiwo ◽  
Absalom E. Ezugwu
Keyword(s):  
Machine Learning ◽  
Mobile Application ◽  
Smart Home ◽  
Human Life ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Automation System ◽  
Home Automation ◽  
Area Of Interest ◽  
Home Automation System

The smart home is now an established area of interest and research that contributes to comfort in modern homes. With the Internet being an essential part of broad communication in modern life, IoT has allowed homes to go beyond building to interactive abodes. In many spheres of human life, the IoT has grown exponentially, including monitoring ecological factors, controlling the home and its appliances, and storing data generated by devices in the house in the cloud. Smart home includes multiple components, technologies, and devices that generate valuable data for predicting home and environment activities. This work presents the design and development of a ubiquitous, cloud-based intelligent home automation system. The system controls, monitors, and oversees the security of a home and its environment via an Android mobile application. One module controls and monitors electrical appliances and environmental factors, while another module oversees the home’s security by detecting motion and capturing images. Our work uses a camera to capture images of objects triggered by their motion being detected. To avoid false alarms, we used the concept of machine learning to differentiate between images of regular home occupants and those of an intruder. The support vector machine algorithm is proposed in this study to classify the features of the image captured and determine if it is that of a regular home occupant or an intruder before sending an alarm to the user. The design of the mobile application allows a graphical display of the activities in the house. Our work proves that machine learning algorithms can improve home automation system functionality and enhance home security. The work’s prototype was implemented using an ESP8266 board, an ESP32-CAM board, a 5 V four-channel relay module, and sensors.

scholarly journals A Digital Health Weight Loss Program in 250,000 Individuals

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Conor Senecal ◽  
Robert Jay Widmer ◽  
Beth R. Larrabee ◽  
Mariza de Andrade ◽  
Lilach O. Lerman ◽  
...  
Keyword(s):  
Weight Loss ◽  
Mobile Application ◽  
Weight Control ◽  
Large Scale ◽  
Digital Health ◽  
Large Population ◽  
Weight Loss Program ◽  
Significant Weight Loss ◽  
Face To Face ◽  
Clinically Significant

Importance. Obesity is a worsening epidemic worldwide. Effective and accessible weight loss programs to combat obesity on a large scale are warranted, but a need for frequent face-to-face care might impose a limitation. Objective. To evaluate whether individuals following a weight loss program based on a mobile application, wireless scale, and nutritional program but no face-to-face care can achieve clinically significant weight loss in a large cohort. Design. Retrospective observational analysis. Setting. China from October 2016 to December 2017. Participants. Mobile application users with a minimum of 2 weights (baseline and ≥35 days). Intervention. A commercial (Weijian Technologies) weight loss program consisting of a dietary replacement, self-monitoring using a wireless home scale, and frequent guidance via mobile application. Main Outcome. Mean weight change around 42, 60, 90, and 120 days after program initiation with subgroup analysis by gender, age, and frequency of use. Results. 251,718 individuals, with a mean age of 37.3 years (SD: 9.86) (79% female), were included with a mean weight loss of 4.3 kg (CI: ±0.02) and a mean follow-up of 120 days (SD: 76.8 days). Mean weight loss at 42, 60, 90, and 120 d was 4.1 kg (CI: ±0.02), 4.9 kg (CI: ±0.02), 5.6 kg (CI: ±0.03), and 5.4 kg (CI: ±0.04), respectively. At 120 d, 62.7% of participants had lost at least 5% of their initial weight. Both genders and all usage frequency tertiles showed statistically significant weight loss from baseline at each interval (P<0.001), and this loss was greater in men than in women (120 d: 6.5 vs. 5.2 kg; P<0.001). The frequency of recording (categorized as high-, medium-, or low-frequency users) was associated with greater weight loss when comparing high, medium, and low tertile use groups at all time intervals investigated (e.g., 120 d: −8.6, −5.6, and −2.2 kg, respectively; P<0.001). Conclusions. People following a commercially available hybrid weight loss program using a mobile application, wireless scale, and nutritional program without face-to-face interaction on average achieved clinically significant short- and midterm weight loss. These results support the implementation of comparable technologies for weight control in a large population.

Internet of Things in Disaster Logistics Productivity

2020 ◽  
pp. 91-111 ◽  
Author(s):  
Buket Karatop ◽  
Buşra Taşkan ◽  
Cemalettin Kubat
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Disaster Preparedness ◽  
Human Life ◽  
Added Value ◽  
Material Management ◽  
Disaster Logistics ◽  
Increase Productivity ◽  
Use Of Internet ◽  
Transport Management

It is possible to carry out logistics operations in a highly efficient and reliable manner with internet of things technologies. These technologies increase the added value of logistics activities and expand their benefits in the supply chain. Logistic activities are a sine qua non of disaster management. The active use of internet of things during disaster preparedness stage, during disaster, and after disaster, in warehouse and material management, fleet and transport management is an important technological milestone which will greatly increase productivity. Right place, right time, right quantity, right quality, and right price rule is known as 5 Right rule in logistics. In disaster logistics, only the price is excluded from these rules because it does not matter if human life is concerned. Strategic approaches, which are provided by IoT technology, are key to efficiently carry out 5 Right rule in disaster logistics.

A Survey

2019 ◽  
Vol 13 (1) ◽  
pp. 86-105 ◽  
Author(s):  
Sarika Choudhary ◽  
Nishtha Kesswani
Keyword(s):  
Internet Of Things ◽  
Intrusion Detection ◽  
Detection System ◽  
Human Life ◽  
Cyber Attacks ◽  
Internet Technology ◽  
General Idea ◽  
The Internet ◽  
Detection Techniques ◽  
The Internet Of Things

The latest buzzword in internet technology nowadays is the Internet of Things. The Internet of Things (IoT) is an ever-growing network which will transform real-world objects into smart or intelligent virtual objects. IoT is a heterogeneous network in which devices with different protocols can connect with each other in order to exchange information. These days, human life depends upon the smart things and their activities. Therefore, implementing protected communications in the IoT network is a challenge. Since the IoT network is secured with authentication and encryption, but not secured against cyber-attacks, an Intrusion Detection System is needed. This research article focuses on IoT introduction, architecture, technologies, attacks and IDS. The main objective of this article is to provide a general idea of the Internet of Things, various intrusion detection techniques, and security attacks associated with IoT.

scholarly journals Residence Automation System Using Internet of Things

Webology ◽  
2021 ◽  
Vol 18 (05) ◽  
pp. 1204-1211
Author(s):  
Jothimani K ◽  
Thangamani S ◽  
Kiruthika D ◽  
Arun K
Keyword(s):  
Internet Of Things ◽  
Human Life ◽  
The Internet ◽  
Automation System ◽  
Home Automation ◽  
Infrared Sensor ◽  
Grid Infrastructure ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Touch Sensor

Home automation using Internet of Things is full of automation and the human being’s life is getting easier as almost everything is systematic by replacing the conventional/manual systems. Recent days, the internet is the mixed part of every human life to gather the knowledge of technology. Internet of things provides a source the devices to connect, sensed by sensors and controlled by remote across a grid infrastructure. Various kind of sensors are designed to meet the need of Home automation such as flame sensor, gas sensor, touch sensor, soil moisture sensor, Infrared sensor where it is connected with Arduino board and it automatically controls the environment. Infrared Sensor is used to find the movement of objects and is used in home automation for example we can use infrared sensor in car shed to monitor the car activities. Based on the car motion we can use infrared sensor. Infrared sensor is used to sense the car movement based on the movement light is automatically changed into on condition and if there is no movement the light turns into off condition. The Arduino board have microcontroller to control all the process occurred in home and it can be sensed by the various sensor and it can be alert to the owner by mail or any other process. The results are obtained with the help of Arduino Software and Arduino UNO for all the sensors.

scholarly journals Smart Cradle System for Child Monitoring using IoT

2019 ◽  
Vol 8 (9) ◽  
pp. 2764-2768
Keyword(s):  
Body Temperature ◽  
Internet Of Things ◽  
Mobile Application ◽  
Large Scale ◽  
Text Message ◽  
Cloud Service ◽  
The Body ◽  
Working Mother ◽  
Moisture Sensor ◽  
Use Of Internet

The current era of digitization provides a large-scale availability of data as well as computing capability which can be used to bridge the gap between a child and a working mother. This paper proposes the use of “Smart Cradle” an E-Cradle which involves the use of Internet of Things. The proposed solution involves live monitoring of the child through a mobile application remotely. The smart cradle incorporates the use of PIR sensor for monitoring the movement of the child; Noise sensor for the detection of the child’s crying activity and automatically swings the cradle to soothe the child. The DHT sensor notifies the parent about the body temperature of the child via text message, when the temperature goes above the set threshold. The solution also includes moisture sensor to maintain the hygiene of the child. The proposed system uses the cloud service for remotely monitoring the child

Translating the diabetes prevention program into a hospital-based weight loss program.

2008 ◽  
Vol 27 (1, Suppl) ◽  
pp. S91-S98 ◽  
Author(s):  
Sherry L. Pagoto ◽  
Lyle Kantor ◽  
Jamie S. Bodenlos ◽  
Mitchell Gitkind ◽  
Yunsheng Ma
Keyword(s):  
Weight Loss ◽  
Prevention Program ◽  
Diabetes Prevention ◽  
Diabetes Prevention Program ◽  
Weight Loss Program
Sign in / Sign up

Export Citation Format

Share Document