Claims:The scope of the invention is defined by the following claims:

Claim:
1. A system/method for smart wheel chair using IOT, said system/method comprising the steps of:
a) The PPG Sensors (1) is used to detect the heart rate of the human.
b) The microcontroller unit (2) is used to receive and process the heart rate signal.
c) When any abnormality is detected, a pre-set alert message is sent to the registered phone numbers via the GSM Module (3) which is attached to the microcontroller unit.
2. According to claim 1, The PPG sensors sense the status of the patient/human. If any abnormal/unexpected conditions occurs, then the GSM module will alert the care taker/family members.
3. As per claim 1, if the family members or care taker is not available near, then it will trigger an alert system embedded on the chair. , Description:Field of Invention
The present invention relates to, Smart Wheel Chair is mechanically controlled devices designed to have self- mobility with the help of the user command. This reduces the user’s human effort and force to drive the wheels for wheelchair. Furthermore our invention helps visually or physically impaired persons to move from one place to another.

Background of the Invention
A number of Wheel chair techniques have already been developed. However one system, depicted in (US2017/10687707B2) that relates generally to wearable devices (or “user devices”) used in conjunction with a person in a wheelchair. Another type of machine has been introduced in U.S. Pat. No. (US2015/ 8996432B1), relates to providing personalized configuration of physical supports for the human body. More particularly, the present invention relates to optimization of physical supports and human positioning to achieve a desired outcome, including reducing the risk of pressure ulcers in general, and reducing the risk of pressure ulcers for people with spinal cord injury (SCI).
Another type of machine has been introduced in (US2017/ 10456078B2), that relates to a wearable device including a sensor system for Manual Wheelchair Users (MWCUs) to provide an alert to the MWCUs when there is an increased risk of injury is provided. The wearable device includes sensors measuring the physical activity of the MWCU and transmitting it as user data to a user motion dynamics analysis system on a user device. When the user motion dynamics analysis system determines that there is a risk of injury, it transmits an alert to the wearable device for display to the user.
The range of applications is an extended version of a patent application, registration number (CN2014/104463100B), published at Intellectual Property India on August 14, 2018. So many techniques have been described, for example, in (Pat. Nos. (CN2014/104083258B), (JP2015/2017512619A) and (CN2015/104706480B), each being included throughout in this invention as a references. The wheelchair is also provided with obstacle detection system which reduces the chance of collision while on the journey. Smart wheelchair has gained a lot of interests in the recent times. These devices are useful especially in transportation from one place to another. The machines can also be used in old age homes where the old age persons have difficulty in their movements. The primary goal of this invention is to reduces the user’s human effort and force to drive the wheels for wheelchair .Furthermore it also provides an opportunity for visually or physically impaired persons to move from one place to another.
Summary of the Invention
The peoples are struggled due to some unexpected disabilities from accident, paralysis or old age. In this invention, we are introduced a smart sensing wheelchair by implementing sensors within its structures. The technology adopted is Internet of Things wherein the heart rate and blood oxygen levels are detected by sensors, processed by embedded systems and sent to the cloud that initiates a trigger in case of any abnormality. The trigger produced can be in the form of an SMS or an e-mail

Brief description of Drawing
The invention will be described in detail with reference to the exemplary embodiments shown in the figures wherein:
Figure 1 Architecture of Smart Wheel Chair using IOT.
Detailed description of the invention
Throughout this document the Fig 1 is considered as for referencing. The components used in this proposed inventions are Arduino, Nano Laptop Configuration Node MCU SpO2 Sensor PPG sensor, 4.7k ohm resistance ,SSD 1306 OLED display-128*64.
The arduino is a platform for building the devices that can sense and control the physical world. The main feature that comes under this is the IOT cloud platform. IOT cloud platforms are specialized cloud-based private or public infrastructure, which in itself is an extensive topic. The IOT cloud platforms are carefully designed for use by edge devices. Web-based administrative console for managing the connection details of edge devices. Device-specific connection points are also known as channels, while there are also generalized messaging queues to which any device can post data. Cloud-based backend databases for storing the incoming device data. Cloud based analytics services to operate upon the incoming data and transform the data into more meaningful desirable forms.
The following are the features of the proposed system: Developing an smart wheelchair which monitors the health and to detect any cardiovascular abnormality using the heart rate and it also checks the blood oxygen level using pulse oximetry sensors. The data is updated on the server and if any abnormality is found then it will notify to the concerned person through emails/SMS. The user objective is to have the system in a regular wheelchair and alert caretakers in case of abnormality. The input is the pulse which is sensed by the PPG sensors and the SPO2 (peripheral capillary oxygen saturation) sensors. The output of the PPG graph is displayed on the OLED screen while Cayenne displays the output of the beats per minute. The sensors shouldn’t move a lot and they should be positioned properly in order to get the accurate values. A strong Wi-Fi connection should be available since the processed data is sent to cloud and a trigger is generated for email/SMS. PC should be available to user to switch on/off the trigger conditions
The health monitoring will be done by assessing Heart Rate & respiratory rate. Normal Heart Rate (adult)- 60-100 bpm .PPG Sensors detect the heart rate. The output of the PPG Sensor is given to the microcontroller unit for processing .The heart rate signal is processed in the microcontroller. The Heart rate for normal conditions are within fixed thresholds for that age group. When any abnormality is detected, a pre-set alert message is sent to the designated cell numbers via the GSM Module which is attached to the microcontroller unit. . The Message is sent over the GSM network as an SMS to the recipients thus alerting them to check on the patient.
3 Claims & 1 Figure