Developing IoT Wearable Apps and Device integration

What are IoT Wearable apps ?

Wearable Technology is a category of technology devices that a user wears directly like a cloth, or as a device. These gadgets are able to establish a connection with the internet directly or via a smartphone to do a number of tasks by data exchange between the device and network. All these processes are carried out by applications installed in the devices. These applications are referred to as IoT Wearable Apps .

Wearable Apps can access device hardware such as sensors,  transceivers etc. Wearable apps receive data from the device hardware and utilize this data with the help of the network with which they are connected, and give the desired result.

Wearable apps classification

Wearable apps for iot Healthcare

The health wearable device app is mainly deployed for remote patient monitoring, treatment and also for rehabilitation purposes. The sensors collect the patient health data and the device may process this data somewhat before  transmitting the it to the Internet for further analysis. The device may also receive data to enable the user to make further decisions. Its further uses under the health category are:

Health Treatment & Rehabilitation Wearable Systems

The IoT rehabilitation devices is helpful for disabled patients in maintaining and improving their physical or mental abilities. 

Health Monitoring Wearable Systems

Based on the type of sensors used, health monitoring wearable apps are classified into 5 types.

  • Bio-potential sensors: electroencephalography (EEG), electrocardiography (ECG), electromyography (EMG), and photoplesmography (PPG) and etc.
  • Motion sensors: accelerometer and gyroscope.
  • Environmental sensors: ultrasound, pressure, temperature etc.
  • Biochemical sensors: transdermal glucose.
IoT wearable Apps

Activity recognition and sports Wearables

Here, the wearables are worn during sport activities to record different metrics of the user/athlete activity in order to improve his/her performance Also, applications of this cluster consider gathering data regarding the recognition of daily activities of humans and animals.

There are two categories in this:

Wearable apps for Daily Physical activity tracking

The recognition of daily physical activities is typically focused on tracking routines and body movement related to skeletal muscles such as moving forward, walking backward, jogging, sleeping, running, going up or down the stairs, bending waist, frontal elevation of arms, bending knees, and jumping front or back. It also includes recognition of rest postures such as sitting, sitting and relaxing, standing, laying down or the recognition of going from one posture to another such as going from standing posture to sitting one

Wearable apps for Specific Sports activities

Wearable apps can bring an a plethora of opportunities for sport players, organizations and audiences. IoT in Sports and fitness helps players increase their efficiency and offerings by creating an environment in which they can get better training or have access to data that helps to keep them healthier, coaches are able to analyze injuries or find metrics on player performance. It also helps in enhanced audience experience. 

Fitness tracking Wearable app

IoT Wearables for Tracking and Geofencing 

This group of wearable apps is used mainly for tracking humans and animals, to determine their location online. Finding the position of a person or animal who is wearing a wearable device is important in many applications. Studying the trajectory trip of a bird, finding the location of a senior citizen in a care-home facility, analyzing the movement of the people who are visiting an exhibition, or pet tracking are some examples of these applications.

wearables for emergency Alert

This group of Emergency alert wearable apps belongs to the wearables that are used to provide a safe environment for the users. For instance, a fatigue monitoring system can alert the drivers who fall asleep at the wheel and notify the employers. 

The wearable IoT sensors intended for safety mostly focus on three main applications: 1) fall detection and prevention 2) drowsiness fatigue detection 3) environmental condition monitoring.

The coming together of IoT and Wearable apps

Wearable technology has become more potent with the integration of the Internet of things (IoT). IoT wearables technology is among the technological innovations that adapt to the digital age. Wearable technology owes its high-tech designs to the Internet of Things . The measuring mechanism of wearable technology products is provided by the Internet of Things.

Wearable iot apps with Google Home/Alexa skills

Wearable devices are being used to seamlessly connect to smart environments, allowing consumers to save a lot of time. Nowadays, easy integration of wearable apps is possible with virtual assistants such as Google Home and Amazon Alexa. Examples include Smart Door app.

The need for your app’s compatibility with virtual assistants such as Google Home and Alexa

The tech-savvy users of the 21st century expects IoT devices dull compatibility with virtual assistants such as Google Home and Alexa. With full integration, the user can give verbal commands to the virtual assistant. The Virtual Assistant, then, interacts with the IoT device management app, and prints it to perform a specific task.

ALEXA INTEGRATION

Integration of wearable apps with Google Home/Alexa skills

In technical terms, Amazon Alexa and Google Home have fairly similar structures and integration processes. Google is able to accommodate  actions, while  Amazon enables third-party developers to build skills. Developers should create a server that implements  the skill or action needed to integrate the IoT app with these Virtual Assistants (VAs). Both of these have full compatibility with the node.js server platform. 

Google has made its API.AI available to developers, who can easily host their actions on all platforms, including cloud servers. Amazon, on the contrary, requires its developers to host their skills on an AWS Lambda server.

After the hosting issue is taken care of, you’ll need to make sure that your skill or action is in line with the security and quality standards of the platform. Amazon is somewhat considerate regarding skills. Developers are required to submit their skills to Amazon for review. This can typically take 2 to 7 days. Post the review, developers are provided with a comprehensive analysis and all issues are identified. Developers are then given the necessary feedback to rectify the issues flagged in the review process and then get the skill approved. On the contrary, Google has stricter standards for submissions. Still, Google provides feedback to reviewers, highlighting the pitfalls to be resolved for approval. 

Communication between IoT wearable app and the hardware

Wireless  communication  is needed  for  wearable  devices  to  transmit  data  to IoT hub. With this, there are many  problems  of  transmission  and  software  control.  Many devices  operate  in  the  localized  region  or  within  human  body  contact,  such  as  the  smart phone  watch,  wearable  computing  devices,  RFID  and  health  care  monitoring devices. The  RF  band  is  shared  with  mobile/  cellphones,  WLAN,  Personal  area  networks, satellite  communications  and  many  other applications. 

All data  transmission  must  be secure  since  wearable  devices  transmit vital information, which is sometimes personal data. For this purpose, this  data needs  to  be  private and  for  this  both  access  control  and  encryption  must  be  used.  Issues concerning network security must  be paid attention to  and  future  solutions  that  include  quantum algorithms  must  be  researched. There are several  wireless  communication  systems that deal  with  the  specific  issues  of  body  centric communication  using  a  device  like  a  radio  terminal  placed  on  the  skin  surface  of  human  body. The  communication  system  aims  at  short-range  communication  like-  personal  area  networks (PAN)  and  body area  network  (BAN),  using  human  body as  a  transmission channel.

IoT wearable apps commonly use the HTTP and MQTT protocols for communication with the wearable device/hardware. MQTT is a Client Server publish/subscribe messaging transport protocol. It is light weight, open, simple, and designed so as to be easy to implement. It is useful in resource-constrained environment such as wearable IoT app communication with system hardware.

Applications/Examples of wearable iot apps 

Common applications include smart watches, body tracking devices, health monitoring wearable services, safety monitoring wearable, motion body capture etc.

Challenges and future possibilities in Wearable IoT devices and apps

1)Data Resolution of Wearable Sensors

Miniaturization/small size demands due to comfort in wearing and low energy retirements results in low resolution of wearable IoT devices as compared to non-wearable ones. 

2) Power Consumption

In order to enable wearable devices to operate for longer hours without the need for charging, optimizing their power consumption is a key concern

3) Safety

All wearable IoT devices make use of  wireless networks to transmit their sensed data to another node, gateway or a base station. This wireless transmission involves radiofrequency radiation can have damaging effects on the user’s health as the transceiver antennas are very close to his/her body.

4) Security

One of the key challenges in wearable IoT apps  is the implementation of security policies while keeping the system as simple as possible. Generally, wearables are easily hacked due to the poor encryption and protection they have.

5) Regulation

At present, there is a barrier in the use of wearable IoT devices in many industries due to absence of proper regulations. As an example, in sports fields and arenas, the use of wearable IoT devices are technologically feasible, but it is not being used due to the regulations barrier.

6) Privacy

In IoT wearable app use, there is a  regular transmission of personal data such as vital health signals, dosage, and location between the wearable and the IoT system. This can potentially create data privacy risks. 

Wearable IoT offers endless opportunities and possibilities in many real-life applications. Wearable devices have a lot of potential when integrated with the IoT system.

We, at PsiBorg an IoT solutions company , understand the latest technologies in IoT wearable apps and excel at crafting and developing IoT wearable apps tailor-made to your needs. Reach out to us for all your it wearable app solution needs.

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