Abstract: This disclosure relates generally to the field of Electroencephalogram (EEG) classification, and, more particularly, to method and system for EEG motor imagery classification. Existing deep learning works employ the sensor-space for EEG graph representations wherein the channels of the EEG are considered as nodes and connection between the nodes are either predefined or are based on certain heuristics. However, these representations are ineffective and fail to accurately capture the underlying brain's functional networks. Embodiments of present disclosure provide a method of training a weighted adjacency matrix and a Graph Neural Network (GNN) to accurately represent the EEG signals. The method also trains a graph, a node, and an edge classifier to perform graph classification (i.e. motor imagery classification), node and edge classification. Thus, representations generated by the GNN can be additionally used for node and edge classification unlike state of the art methods.

Abstract: The present invention relates to a method and system for early detection of COVID-19. Existing methods require data from multiple sensors for training a prediction model whose output is considered as final prediction which is actually the prediction for a particular day or time instance. However, this prediction doesn't detect actual infection of COVID-19 since it requires monitoring the change in health of the user over consecutive days. Embodiments of present disclosure overcome these challenges by a prediction model for COVID-19 which requires only data from Photoplethysmography (PPG) sensor seamlessly collected from a wearable device still able to provide accurate COVID-19 prediction with application of a post processing technique on the predictions of the prediction model. Since COVID-19 symptoms have an effect on heartrate and oxygen saturation which are effectively captured by PPG sensor data, studying these dynamics during infection period gives insights to perform early detection of COVID-19.

Abstract: Embodiments herein provide a method and system for continuously validating a user during an established authenticated session using Photoplethysmogram (PPG) and accelerometer data. State of the art approaches are mostly based on feature extraction and ML modelling for PPG based continuous session validation, while a template based approach in the art follows a complicated approach. The method disclosed herein utilizes less computation intensive template based approach to continuously validate the user across the session. The method comprises preprocessing a PPG data or PPG signal acquired from a wearable device worn by the user to identify segments of negligible motion. A first segment, after authentication using conventional authentication mechanism, serves as the initial reference. The chosen segments are then tested one by one with respect to the reference. If the templates in a segment match those of the reference, it is updated as the new reference, else a re-authentication is triggered.

Abstract: This disclosure relates generally to classification of cardiopulmonary fatigue. The method and system provides a longitudinal monitoring platform to classify cardiopulmonary fatigue of a subject using a wearable device worn by the subject. The activities of the subject is continuous monitored by plurality of sensors embedded in a wearable device. The received sensor signals are processed in multiple stages to classify cardiopulmonary fatigue as healthy or unhealthy based on respiratory, heart rate and recovery duration parameters extracted from the received sensor data. Further using the classified cardiopulmonary fatigue level, the C2P also performs longitudinal analysis to detect potential cardiopulmonary disorders.

Abstract: Embodiments herein provide a method and system for continuously validating a user during an established authenticated session using Photoplethysmogram (PPG) and accelerometer data. State of the art approaches are mostly based on feature extraction and ML modelling for PPG based continuous session validation, while a template based approach in the art follows a complicated approach. The method disclosed herein utilizes less computation intensive template based approach to continuously validate the user across the session. The method comprises preprocessing a PPG data or PPG signal acquired from a wearable device worn by the user to identify segments of negligible motion. A first segment, after authentication using conventional authentication mechanism, serves as the initial reference. The chosen segments are then tested one by one with respect to the reference. If the templates in a segment match those of the reference, it is updated as the new reference, else a re-authentication is triggered.

Abstract: A processor implemented method of determining personalized wellness measures associated plurality of dimensions of an individual is provided. The processor implemented method includes at least one of: receiving, plurality of information associated with plurality of sensors; processing, the plurality of information associated with the plurality of sensors to obtain plurality of low-level features; determining, at least one digital behavioral marker based on the plurality of low-level features; processing, at least one dimension associated with a plurality of well-being of the individual based on the at least one digital behavioral marker to determine a set of objective features; generating, one or more wellness scores for the set of objective features associated with the at least one well-being dimension of the individual; and dynamically recommending, one or more behavior changes based on the one or more generated wellness scores of the individual.

Abstract: Embodiments of the present disclosure provide systems and methods that establish non-linear components of gyroscope errors which have not been studied or explored earlier. These errors include but are not limited to non-linear dynamic error which is a function of the angular velocity itself. Bias instability has been observed within the same environment of temperature and atmospheric pressure. In other words, the embodiments of the present disclosure analyse and models static bias errors and dynamic non-linear errors in the gyroscope sensor which may be used to model and correct errors accordingly In subsequent measurements. The system provide solution(s) when there is no way of directly estimating temperature for bias correction of gyroscope, by estimating a temperature change by considering indirect measurements from other sensors present onboard the device.

Abstract: This disclosure relates generally to classification of cardiopulmonary fatigue. The method and system provides a longitudinal monitoring platform to classify cardiopulmonary fatigue of a subject using a wearable device worn by the subject. The activities of the subject is continuous monitored by plurality of sensors embedded in a wearable device. The received sensor signals are processed in multiple stages to classify cardiopulmonary fatigue as healthy or unhealthy based on respiratory, heart rate and recovery duration parameters extracted from the received sensor data. Further using the classified cardiopulmonary fatigue level, the C2P also performs longitudinal analysis to detect potential cardiopulmonary disorders.

Abstract: Embodiments of the present disclosure provide systems and methods that establish non-linear components of gyroscope errors which have not been studied or explored earlier. These errors include but are not limited to non-linear dynamic error which is a function of the angular velocity itself. Bias instability has been observed within the same environment of temperature and atmospheric pressure. In other words, the embodiments of the present disclosure analyse and models static bias errors and dynamic non-linear errors in the gyroscope sensor which may be used to model and correct errors accordingly In subsequent measurements. The system provide solution(s) when there is no way of directly estimating temperature for bias correction of gyroscope, by estimating a temperature change by considering indirect measurements from other sensors present onboard the device.

Abstract: A system and method for robust data loss recovery in a wireless local area network is provided. The method includes splitting user data into multiple data fragments. The method further includes creating multiple beacon frames by placing each data fragment in a unique beacon frame and broadcasting the beacon frames through a wireless medium by an access point of the network. Prior to transmission, the method includes arranging the frames into a plurality of groups and creating a parity frame for each group, to be transmitted along with the beacon frame. After transmission, the beacon frames are received by a wireless client and data fragments are extracted from each beacon frame. At the receiving end, the wireless client checks whether all the transmitted beacon frames have been received. Finally, the user data is reconstructed from the extracted data fragments by reassembling the data fragments.

Abstract: A wireless sensor network provides a communication link between a plurality of nodes. Communication among the plurality of nodes is based one or more protocol components that are associated with a selected quality of service (QoS). A preamble byte can have bit values assigned based on application preferences, and the preamble byte used to select one or more protocol components from a component library. The preamble byte is combined with a data payload and transmitted to additional nodes based on the selected QoS.

Abstract: A method, system, and computer program product for network management, including masking a true service set identifier (SSID) in beacon frame; and broadcasting the beacon frame with the masked true SSID, whereby an authorized device retrieve the true SSID from the broadcast beacon frame.

Abstract: A system, method, and computer program product for executing a task via a communication network, including devices configured to establish the communication network, wherein each of the devices includes a database having a capability of the devices, wherein the devices are adapted for executing a pre-defined set of activities indicative of the task. The device further includes a resource module adapted to select an optimal capability among the devices for performing the task based on the capability of the devices and a decision module adapted to allocate the task among the devices based on the selection of the optimal capability among the devices. The device further includes an execution module adapted to perform the task in any of the devices based on the allocation of the optimal capability among the devices and wherein the application resource is exchanged among the devices prior to invoking the task.

Abstract: Delivery of non-standard frame field information can be accomplished by publicly broadcasting the non-standard frame field information in one or more broadcast frames within an open wireless computing network. The broadcast can be received by a client wireless device when the client wireless device has not established a connection to the wireless network. The client can store the received information. A system for delivery of non-standard frame field information can comprise a special-purpose access point configured to deliver the information by broadcasting the information in a plurality of broadcast frames. The system can also comprise a client wireless device that receives the broadcast and aggregates the received information when the client is not connected to a wireless network.

Abstract: Location-based services can be provided by broadcasting location-based information within wireless network zones. A system for providing location-based services within an ad-hoc wireless network zone can include an information server for providing the location-based services by broadcasting location-based information, where the broadcast location-based information is received by a client wireless device when the client wireless device enters the ad-hoc wireless network zone. Location-based services can be provided within an ad-hoc wireless network zone by broadcasting location-based information regarding the location-based services. The broadcast can be received by a client wireless device within the zone. The client wireless device can display alerts based on the received location-based information.

Abstract: A system and method for robust data loss recovery in a wireless local area network is provided. The method includes splitting user data into multiple data fragments. The method further includes creating multiple beacon frames by placing each data fragment in a unique beacon frame and broadcasting the beacon frames through a wireless medium by an access point of the network. Prior to transmission, the method includes arranging the frames into a plurality of groups and creating a parity frame for each group, to be transmitted along with the beacon frame. After transmission, the beacon frames are received by a wireless client and data fragments are extracted from each beacon frame. At the receiving end, the wireless client checks whether all the transmitted beacon frames have been received. Finally, the user data is reconstructed from the extracted data fragments by reassembling the data fragments.

Abstract: A system and method for improving bandwidth of a local area network is provided. The method includes splitting user data into multiple data fragments. The method further includes creating multiple beacon frames by placing each data fragment in a unique beacon frame. Further, the method includes broadcasting the beacon frames through a wireless medium by an access point of the network. Thereafter, the beacon frames are received by a wireless client and data fragments are extracted from each beacon frame. Finally, the user data is reconstructed from the extracted data fragments by reassembling the data fragments.

Abstract: A method, system, and computer program product for network management, including masking a true service set identifier (SSID) in beacon frame; and broadcasting the beacon frame with the masked true SSID, whereby an authorized device retrieve the true SSID from the broadcast beacon frame.

Abstract: A wireless sensor network provides a communication link between a plurality of nodes. Communication among the plurality of nodes is based one or more protocol components that are associated with a selected quality of service (QoS). A preamble byte can have bit values assigned based on application preferences, and the preamble byte used to select one or more protocol components from a component library. The preamble byte is combined with a data payload and transmitted to additional nodes based on the selected QoS.

Abstract: A system, method, and computer program product for establishing a communication network, including a plurality of access points, wherein each access point includes a plurality of devices adapted to operate in communication to a proximate corresponding access point. The system further includes a communication module disposed in the plurality of devices and encoded with executable instructions representing a computer program, wherein the communication module is adapted to randomly locate the plurality of devices and establish an ad-hoc communication network between the plurality of devices in any of the plurality of access points for exchanging information on the plurality of access points and for establishing the communication network with any of the plurality of access points.