A system and method for enabling a wristwatch for social communication

Abstract

Disclosed is an emotion-aware social communication system (101). Said system is implemented as a wearable communication device that enables seamless and secure inter-device interaction while providing real-time insights into a user's emotional state. The device integrates multiple biometric and environmental sensors to capture physiological and contextual data, which is analysed by an embedded processor to infer the user's mood. Visual feedback is provided through chromatic illuminations that convey both mood status and communication intent, facilitating intuitive social interactions. When two devices are in close proximity, they initiate a secure data exchange process governed by user consent, ensuring privacy and data protection. By combining mood detection, personalized visual signals, and consent-based data sharing, the invention significantly advances wearable technology, offering applications in health monitoring, social networking, and user-driven communication.

Description

[0001] A SYSTEM AND METHOD FOR ENABLING A WRISTWATCH FOR SOCIAL COMMUNICATION

[0002] TECHNICAL FIELD

[0003] The present disclosure generally relates to wearable technology, and more specifically, to smart wristwatches designed for social communication. In particular, the present disclosure relates to an emotion-aware social communication system. Moreover, the present disclosure relates to a method for enabling secure, emotion-aware communication between wearable devices.

[0004] BACKGROUND

[0005] Secure data transfer between devices, in a user-friendly manner, is generally not supported by modern gadgets such as smart wristwatches. The watches in the current market focus on either individual user experience or communication capabilities. Due to this, many users experience difficulties, including inconvenient data transmission methods, safety concerns and limited customisation choices that do not accurately show the current conditions, like the weather of the area and the mood of the user.

[0006] Current smart wrist watches do not properly address the need for a secure, personalised and intuitive communication system. Wristwatches cannot instantly adapt to the user's decisions or emotional states. Some devices offer basic mood detection features, but they lack the combination of these features with communication standards that ensure the security and permission of data transfer. The existing technologies do not fully use the advantages of proximity-based interactions for seamless data exchange between users. This disconnect results in devices that are either too complicated to use effectively or too limited in functionality to meet the diverse needs of modern users. The absence of user-friendly interaction methods in the existing smart devices often means that users must navigate through multiple steps or use other applications to get work done, like data sharing. Many smart watches do not have personalisation features, due to this many users have a demand for them.

[0007] Therefore, in light of the foregoing discussion, there exists a need to overcome the aforementioned drawbacks.

[0008] SUMMARY

[0009] The aim of the present disclosure is to provide an emotion-aware social communication system and a method for enabling secure, emotion-aware communication between wearable devices to facilitate real-time mood detection, personalized visual feedback through chromatic illumination, and secure, consent-based data exchange between users in close proximity. The aim of the present disclosure is achieved by the emotion-aware social communication system and the method for enabling secure, emotion-aware communication between wearable devices that integrate biometric and environmental sensors, a processor configured to infer mood states, a chromatic illumination signals for visual signaling, and secure communication protocols, as defined in the appended independent claims to which reference is made to. Advantageous features are set out in the appended dependent claims.

[0010] A principal object of the present disclosure is to display one or more specific chromatic illuminations based on a configured indication system. Another object of the present disclosure is to facilitate intercommunication between two emotion-aware social communication systems located in close proximity to each other. Another object of the invention is to ensure the data transfer seamlessly and securely between two emotion-aware social communication systems. These and other objects and characteristics of the present disclosure will become apparent from the further disclosure to be made in the detailed description given below.

[0011] Throughout the description and claims of this specification, the words "comprise" , "include", "have", and "contain" and variations of these words, for example "comprising" and "comprises" , mean "including but not limited to", and do not exclude other components, items, integers or steps not explicitly disclosed also to be present. Moreover, the singular encompasses the plural unless the context otherwise requires. In particular, where the indefinite article is used, the specification is to be understood as contemplating plurality as well as singularity, unless the context requires otherwise.

[0012] BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Embodiments of the present disclosure will now be described, by way of example only, with reference to the following diagrams wherein:

[0014] FIG. 1A illustrates a networked drawing of an emotion-aware social communication system, in accordance with an embodiment of the present disclosure;

[0015] FIG. IB illustrates a specific block diagram of the emotion-aware social communication system with its components, in accordance with an embodiment of the present disclosure;

[0016] FIGs. 2A and 2B illustrate a top view and a side view, respectively, of the emotion-aware social communication system, in accordance with an embodiment of the present disclosure;

[0017] FIGs. 3A and 3B collectively illustrate a flowchart representing a method for enabling the emotion-aware social communication system, in accordance with an embodiment of the present disclosure;

[0018] FIGs. 4A and 4B collectively illustrate performance parameters and validation data for mood detection functionality and secure communication features of the emotion-aware social communication system, in accordance with an embodiment of the present disclosure; and

[0019] FIG. 5 illustrates a graphical representation of mood detection accuracy as a function of different sensor combinations employed in the emotion- aware social communication system, in accordance with an embodiment of the present disclosure.

[0020] DETAILED DESCRIPTION OF EMBODIMENTS

[0021] The following detailed description illustrates embodiments of the present disclosure and ways in which they can be implemented. Although some modes of carrying out the present disclosure have been disclosed, those skilled in the art would recognize that other embodiments for carrying out or practising the present disclosure are also possible.

[0022] In a first aspect, the present disclosure provides an emotion-aware social communication system, comprising: a) a processor configured to execute algorithms for determining a user's mood state based on biometric and environmental data; b) a memory operatively connected to the processor for storing userspecific data, historical records, and executable instructions; c) a communication interface configured to securely exchange userspecific information with external devices using wireless communication protocols; d) a plurality of sensors configured to capture biometric and environmental signals; e) a light-emitting indication system configured to emit chromatic illumination signals corresponding to the detected mood state or communication intent; f) a user interface configured to present information to the user and receive user inputs; and g) a housing and a wearable structure adapted to support the system components and maintain contact with the user's skin, wherein the system is configured to determine the mood state of the user in real-time and to visually communicate the mood state or communication intent through chromatic illumination, and further to securely exchange user-specific information with an external device upon obtaining user consent.

[0023] In this regard, the processor is configured to receive the biometric and environmental signals, captured by the plurality of sensors. The biometric and environmental signals (i.e., the biometric and environmental data) may constitute the user-specific data. Next, the processor is configured to determine the user's mood state in real-time, based on the biometric and environmental data. The processor is also configured to store the user-specific data, historical records, and executable instructions, in the memory. The processor is configured to control the light-emitting indication system, to visually communicate the user's mood state or communication intent through chromatic illumination signals. The processor is configured to control the communication interface, to securely exchange the user-specific information with one or more external devices, upon obtaining user consent. The processor is configured to present the user-specific information and received inputs from the user, via the user interface.

[0024] The emotion-aware social communication system may be understood to be "a wearable communication device". This wearable communication device may communicate with one or more external devices.

[0025] In a second aspect, the present disclosure provides a method for enabling secure, emotion-aware communication between wearable devices, the method comprising : a) obtaining user-specific data through a plurality of sensors (207), including physiological, motion, and environmental signals; b) detecting proximity between devices to determine whether other emotion-aware social communication systems (101) are within communication range; c) processing the sensor data using a processor (201) to determine mood states and activity patterns; d) storing processed data and preferences in memory (203) for personalized operation and future reference; e) communicating secure user-specific information through a communication interface (205) via wireless protocols such as Bluetooth Low Energy or Near Field Communication, contingent on user consent; f) configuring chromatic illumination signals using a processor (201) and a light-emitting indication system (209) to represent mood or communication intent; g) displaying chromatic illuminations through the light-emitting indication system (209) around a watch face and along a watch strap (215); and h) presenting information and receiving inputs through a user interface (211) via a touchscreen or physical interactions.

[0026] In this regard, the other emotion-aware social communication systems may be understood to be other wearable communication devices, or the one or more external devices (as mentioned previously).

[0027] The present disclosure also relates to the method as described above. Various embodiments and variants disclosed above, with respect to the aforementioned emotion-aware social communication system, apply mutatis mutandis to the method.

[0028] Optionally, in the method, after detecting proximity and initiating a connection request between the wearable communication devices, verifying user consent, and upon receiving such consent, performing encryption of user-specific information using advanced encryption standard (AES) protocols, including AES-128 or AES-256, prior to exchanging the encrypted information between the devices.

[0029] The above aspects will now be described hereinbelow, in greater detail.

[0030] The term "Biometric Sensors" refers to electronic sensing components integrated into the wearable communication device for capturing physiological signals from a user's body. Such sensors may include, but are not limited to, heart rate sensors that measure pulse data, electrodermal activity (EDA) sensors that detect skin conductance changes linked to emotional arousal, photoplethysmography (PPG) sensors that analyse blood volume variations, and skin temperature sensors capable of recording thermal fluctuations correlated with stress or relaxation. Biometric sensors are configured to operate continuously or intermittently to gather raw data, which is subsequently processed to infer the user's mood state or physiological condition. These sensors are critical to the invention because they enable a personalized and context- aware user experience, forming the foundation for mood detection and health monitoring functions.

[0031] The term "Environmental Sensors" refers to sensing components integrated into the wearable communication device for detecting and measuring physical conditions in the user's surroundings. Such sensors may include ambient temperature sensors that record environmental heat levels, accelerometers that sense motion and physical activity, gyroscopes that detect orientation and angular velocity, and optional lidar sensors capable of measuring distances to nearby objects or individuals. These sensors provide context about the external environment, which assists the device in distinguishing between physiological changes caused by user emotions and those resulting from physical activities or environmental factors. By combining data from environmental sensors with biometric inputs, the system can enhance the accuracy of mood inference and optimize the user's interaction with the device. The term "Chromatic Illumination" refers to the emission of visible light in various colours or patterns by a light-emitting indication system integrated within the wearable communication device. In an embodiment, the light-emitting indication system comprises multi-colour LEDs capable of producing various colours and patterns to signal different user moods or communication intents. This may include the use of multi-colour LEDs, organic LEDs (OLEDs), or other light-emitting components capable of producing dynamic colour changes. Chromatic illumination is utilized to visually represent the user's inferred mood state or to signal communication intent, such as indicating willingness to engage in social interactions, professional networking, or other user-specific contexts. The system may employ predetermined colour codes, for example, blue for professional networking, yellow for social interactions, or pink for dating, thereby providing an intuitive, non-verbal means of communication. Such visual feedback enhances user engagement and enables seamless social signalling in various environments.

[0032] In an embodiment, the processor is configured to apply machine learning algorithms to improve the accuracy of mood state inference over time, and to perform encryption operations using advanced encryption standard (AES) protocols, including AES-128 or AES-256, for securing the user-specific information during communication. The machine learning algorithms enable adaptive emotional intelligence in the system, by learning user-specific physiological patterns over time, enhancing mood classification accuracy beyond static rule-based methods. The phrase "Encryption Protocols" refers to cryptographic methods employed within the wearable communication device to ensure secure transmission of user-specific information between devices. This includes the use of industry-standard algorithms such as the Advanced Encryption Standard (AES), which may be implemented with key lengths like AES-128 or AES- 256 to provide varying levels of data security. Encryption protocols transform plaintext data into ciphertext to prevent unauthorized access, ensuring that sensitive personal data remains confidential during wireless communication processes like Bluetooth Low Energy (BLE) or Near Field Communication (NFC). These protocols are critical to the invention because they uphold user privacy, protect against data breaches, and ensure trustworthiness in proximity- based social exchanges. The device's processor is typically configured to perform such encryption operations as part of its secure communication workflow. Furthermore, when Bluetooth 5.2 or NFC based data transmission is used, no internet or mobile network is required for enabling the communication. This offline peer-to-peer communication provides several technical benefits such as enhanced privacy and security (due to lack of exposure to third-party servers or network-based attacks), usability of the system even in remote areas due to network independence, low power consumption, and low communication latency.

[0033] In an embodiment, the user-specific information exchanged comprises data relating to social networking profiles, contact details, or communication preferences. In this regard, the "social networking profiles" may represent the user's public or semi-public identity for professional or social engagement. Furthermore, the "contact details" may include details such as phone numbers or email addresses of the user. Moreover, the "communication preferences" may define the user's conditions or channels for being contacted (e.g., preferred messaging apps, available time slots, or do-not-disturb settings). The technical effect of including such data in the user-specific information is to enable a context-aware, privacy-conscious, and consent-based digital handshake between users, enhancing social connectivity while preserving user agency over how and when information is shared.

[0034] Moreover, although the following description contains many specifics for the purposes of illustration, anyone skilled in the art will appreciate that many variations and / or alterations to said details are within the scope of the present disclosure. Similarly, although many of the features of the present disclosure are described in terms of each other, or in conjunction with each other, one skilled in the art will appreciate that many of these features can be provided independently of other features. Accordingly, this description of the present disclosure is set forth without any loss of generality, to and without imposing limitations upon the present disclosure.

[0035] Referring to FIG. 1A, illustrated is a networked drawing of an emotion- aware social communication system (101), in accordance with an embodiment of the present disclosure. FIG. 1A comprises a network (109), a remote device (103), a peripheral component (105), a local device (107) and the emotion-aware social communication system (101). Notably, the emotion-aware social communication system (101) may subsequently be referred to as "system (101)", for sake of simplicity only.

[0036] Continuing with reference to FIG.1A, in some example embodiments, any of the system (101), the peripheral component (105), the local device (107), and the remote device (103) may be connected to the network (109). The network (109) may include the Internet or any other network capable of communicating data between devices. Suitable networks may comprise or interface with any one or more for instance, a local intranet, a l_AN (Local Area Network), a MAN (Metropolitan Area Network), a WAN (Wide Area Network), a PAN (Personal Area Network), a virtual private network (VPN), a MAN (Metropolitan Area Network), a frame relay connection, a storage area network (SAN), an Advanced Intelligent Network (AIN) connection, a synchronous optical network (SONET) connection, a digital El, E3, T1 or T3 line, DSL (Digital Subscriber Line) connection, Digital Data Service (DDS) connection, an ISDN (Integrated Services Digital Network) line, an Ethernet connection, a dial-up port, for example, such as a V.90, V.34 or V.34b is analogue modem connection, an ATM (Asynchronous Transfer Mode) connection, a cable modem or CDDI (Copper Distributed Data Interface) connection or an FDDI (Fiber Distributed Data Interface). Furthermore, communications may also comprise links to any of a variety of wireless networks, comprising GPRS (General Packet Radio Service), WAP (Wireless Application Protocol), GSM (Global System for Mobile Communication), or CDMA (Code Division Multiple Access), TDMA (Time Division Multiple Access), cellular phone networks, CDPD (cellular digital packet data), RIM (Research in Motion, Limited), GPS (Global Positioning System), duplex paging network, Bluetooth radio, or an IEEE 802.11-based radio frequency network. The network (109) can further comprise or interface with any one or more of an RS-232 serial connection, a SCSI (Small Computer Systems Interface) connection, a Fiber Channel connection, an IEEE-1394 (Firewire) connection, an IrDA (infrared) port, a Universal Serial Bus (USB) connection or other connections which may be wired or wireless, and comprise digital or analogue interface or connection, with mesh or Digi® networking.

[0037] Referring to FIG. IB, illustrated is a specific block diagram of the emotion- aware social communication system (101) with its components, in accordance with an embodiment of the present disclosure. The emotion- aware social communication system (101) includes a processor (201), a memory (203), a communication interface (205), a plurality of sensors (207), a light-emitting indication system (209), a user interface (211), a housing (213), a watch strap (215), and a control button (217).

[0038] The processor (201) may be a 32-bit processor using a flat address space, such as a Hitachi SHI, an Intel 960, an Intel 80386, a Motorola 68020 (or any other processor carrying a similar or bigger addressing space). Processors other than the above-mentioned, processors that may be built in the future, are also apt. The processor can include, but is not limited to, the general processor, Application Specific Integrated Circuit (ASIC), Digital Signal Processing (DSP) chip, AT89S52 microcontroller firmware, or a combination of field Programmable Gate Arrays (FPGAs) thereof. Processors that are suitable for carrying out a computer program may include, for example, both special and general-purpose microprocessors, or processors of any kind for digital computers. Generally, a processor obtains instructions and data through a read-only memory (203), a random-access memory (RAM), or both. The vital elements of a computer are its processor for carrying out instructions and multiple memory devices for storing data and instructions. Generally, a computer includes, or is operatively associated with transferring data to or receiving data from, or both, multiple mass storage devices for storing data, e.g., magneto-optical disks, magnetic, or optical disks. However, a computer requires no such devices. Moreover, a computer can be lodged into another device without much effort, e.g., a personal digital assistant (PDA), a mobile telephone, a GPS receiver, or a mobile audio player, to name a few. Computer-readable media which are suitable for hoarding computer programs and data consists of all forms of media, and memory devices, non-volatile memory, including semiconductor memory devices, e.g., EEPROM, EPROM, and magnetic disks, flash memory devices; e.g., removable disks or internal hard disks; magneto-optical disks, DVD-ROM disks, and CD ROM. The memory can be of non-transitory form, such as RAM, ROM, flash memory, etc. The processor (201), along with the memory (203), can be supplemented by, or subsumed in, specialpurpose logic circuits.

[0039] In accordance with an example embodiment comprises the memory (203) that includes both static memory (e.g., ROM, CD-ROM, etc.) and dynamic memory (e.g., RAM, magnetic disk, writable optical disk, etc.) for hoarding the executable instructions which when executed perform sampling of the electronics signals to generate optical signals or vice- versa.

[0040] In accordance with an example embodiment, the processor (201) may further comprise a Nordic nRF52811 system-on-chip, which integrates an ARM Cortex-M4 32-bit microcontroller core operating up to 64 MHz, alongside a Bluetooth Low Energy 5.2 radio module. This processor provides an embedded environment suitable for low-power operations, real-time signal processing, and secure wireless communication. The nRF52811 supports multiple peripheral interfaces, including GPIOs, I2C, SPI, UART, and analogue-to-digital conversion channels, allowing seamless connectivity to the plurality of sensors (207), the light-emitting indication system (209), and the user interface (211). The integrated memory (203) in this processor includes flash memory for non-volatile program storage and SRAM for runtime data handling. The use of the Nordic nRF52811 in the emotion-aware social communication system (101) enables efficient execution of mood detection algorithms and fast, secure communication protocols required for the invention.

[0041] In accordance with an example embodiment, the communication interface is configured to operate using wireless protocols suitable for short-range communication, including near field communication (NFC) or Bluetooth low energy (BLE). The communication interface (205) may be a part of a communication module, wherein the communication module may include, but is not limited to, wireless communication modules such as Bluetooth Low Energy (BLE) transceivers, Near Field Communication (NFC) modules, Wi-Fi radios, Zigbee modules, LoRa transceivers, or other wireless or wired data interfaces capable of facilitating proximity- based or long-range communication. The communication interface (205) enables secure data transfer between the emotion-aware social communication system (101) and external devices, such as similar wristwatch systems or mobile devices. Such communication may be accompanied by encryption protocols, for example, AES-128 or AES-256, to ensure data integrity and user privacy. Furthermore, the communication module may be optimized for low power consumption.

[0042] In an embodiment, the plurality of sensors (207) comprises at least one sensor selected from the group consisting of a heart rate sensor, an electrodermal activity (EDA) sensor, a photoplethysmography (PPG) sensor, a skin temperature sensor, an accelerometer, a gyroscope, an ambient temperature sensor, and a lidar sensor module. This means that the plurality of sensors (207) may include, but is not limited to, heart rate sensors, electrodermal activity (EDA) sensors for measuring skin conductance, photoplethysmography (PPG) sensors for detecting pulse and blood oxygenation, skin temperature sensors such as thermistors, infrared sensors, thermocouples, or resistive temperature detectors (RTDs), accelerometers, gyroscopes, ambient temperature sensors, and optional lidar sensor modules for detecting proximity and supporting augmented or mixed reality functions. Such an implementation of the plurality of sensors enables single or multimodal data acquisition. In particular, the multimodal data acquisition improves mood inference accuracy and environmental context awareness for robust system performance. The light-emitting indication system (209) may optionally be implemented as an LED-based indication system. The light-emitting indication system (209) may comprise, but is not limited to, multi-colour light-emitting diodes (LEDs) such as WS2812B, WS2812C-2020, APA102, bi-colour LEDs, smart LEDs like WS2812 integrated with control logic, surface-mount device (SMD) LEDs, organic LEDs (OLEDs), or other lighting elements capable of producing dynamic chromatic illuminations to visually represent mood states, notifications, or communication intent.

[0043] In an embodiment, the external device further comprises a user interface configured to display information and receive user inputs for controlling device functions. The user interface (211) may include, but is not limited to, touchscreens, capacitive or resistive touch sensors, physical pushbuttons, rotary controls, or gesture recognition sensors, enabling the user to input commands or preferences. The housing (213) may comprise materials such as anodized aluminium, stainless steel, polycarbonate, thermoplastic elastomer, or other impact-resistant and water-resistant materials to protect internal components. The watch strap (215) may include materials such as silicone, leather, metal, or woven textiles, and may integrate embedded circuits or LED strips for additional visual feedback. The control button (217) may be a physical switch or capacitive touch-sensitive element for user interaction, enabling manual control over specific device functions. A technical effect of the user interface is that it enables direct user control and feedback, allowing interaction with device functions such as consent management, communication settings, and mood display, thereby enhancing usability and personalization.

[0044] In accordance with an example embodiment of the invention, the components of the emotion-aware social communication system (101) cooperate synergistically to produce the technical effects of real-time mood detection and secure, user-consented social communication. The plurality of sensors (207), which may include but are not limited to heart rate sensors, electrodermal activity (EDA) sensors, photoplethysmography (PPG) sensors, skin temperature sensors such as thermistors, infrared sensors, thermocouples or RTDs, accelerometers, gyroscopes, ambient temperature sensors, and optional lidar modules, continuously acquire diverse physiological, environmental, and motion- related data from the user. Each sensor contributes specific data reflecting various aspects of the user's physical or emotional state; for example, PPG and HRV data provide insights into cardiovascular patterns linked to emotional arousal, EDA detects stress-related skin conductance changes, while skin temperature signals shifts associated with emotional states like anxiety or relaxation. Motion sensors such as accelerometers and gyroscopes contextualise these readings by capturing posture, activity intensity, and dynamic body movement. The gathered sensor data is critical because it ensures that mood inference is based on a multidimensional analysis rather than a single isolated biometric signal, thereby increasing the robustness and reliability of mood detection.

[0045] The diverse sensor outputs are transmitted to the processor (201), which may include, for instance, a Nordic nRF52811 system-on-chip integrating an ARM Cortex-M4 core capable of executing real-time algorithms that analyse incoming sensor data for identifying mood states and activity patterns. The processor (201) utilizes data fusion techniques and potentially machine learning models to correlate signals, such as detecting a combination of elevated EDA and fluctuating HRV as an indicator of stress, or stable HRV with minimal temperature change as an indication of calmness. This processing step determines the appropriate chromatic signals for visual feedback, subsequently controlling the lightemitting indication system (209), which may consist of individually addressable LEDs such as WS2812B, WS2812C-2020, APA102, or other multi-colour LEDs arranged in the housing (213) and along the watch strap (215). These LEDs dynamically display specific colours or light patterns representing the user's mood or communication intent. Meanwhile, the communication interface (205) ensures secure wireless transmission of user-specific mood or social information using protocols like Bluetooth Low Energy (BLE), NFC, or other suitable standards, with data protection enforced through encryption mechanisms such as AES- 128 or AES-256. Before any data is shared, the system seeks explicit user consent via the user interface (211), which may comprise touchscreens, capacitive sensors, or the physical control button (217), ensuring privacy and user control over information disclosure. The housing (213) provides mechanical protection against environmental factors, being constructed from materials like stainless steel, anodized aluminium, polycarbonate, or thermoplastic elastomers, while the watch strap (215) integrates functional and aesthetic features, such as flexible circuits and embedded LEDs for further enhancing user communication. Through this meticulous integration of components, the invention achieves the technical effects of precise mood detection and secure, realtime social communication, thus addressing longstanding challenges in the domain of wearable technology.

[0046] Referring to FIGs. 2A and 2B, illustrated are a top view and a side view, respectively, of the emotion-aware social communication system, in accordance with an embodiment of the present disclosure. Specifically, FIG. 2A illustrates a top view of the emotion-aware social communication system (101) in accordance with an example embodiment of the present disclosure. As shown, the device includes a watch strip (215) designed for securing the system comfortably around the user's wrist. The central body (213) houses the critical electronic components, including the processor (201), memory (203), and communication interface (205). A display screen (211) is visible on the top surface, providing a user interface for visualizing data, navigating menus, and receiving notifications. The top view also shows the placement of a dial or control button (217), which serves as a physical input mechanism for manual operations. Surrounding the display, the arrangement may include the light-emitting indication system (209), positioned around the bezel or integrated into the watch strip (215), allowing dynamic chromatic signals to be presented as part of the user's mood feedback or communication intent.

[0047] Furthermore, FIG. 2B illustrates a side view of the emotion-aware social communication system (101), in accordance with an example embodiment of the present disclosure. From this perspective, the housing (213) is shown in profile, revealing its thickness and structural form designed to encase and protect internal electronic components from moisture, dust, and physical impacts. The side view highlights the placement of a plurality of sensors (207) on the rear surface of the device, ensuring direct contact with the user's skin for accurate biometric measurements such as heart rate, skin temperature, or electrodermal activity. The control button (217) is also visible in this view, protruding slightly for tactile feedback. The curvature and ergonomics of the watch strip (215) are apparent, indicating how the strap integrates with the housing (213) to provide both comfort and secure attachment. This configuration enables the system to maintain consistent sensor-skin contact, which is essential for reliable mood detection and physiological monitoring.

[0048] Referring to FIGs. 3A and 3B, FIGs. 3A and 3B collectively illustrate a flowchart representing a method for enabling the emotion-aware social communication system (101), in accordance with an embodiment of the present disclosure. At step 301, the method includes obtaining userspecific data through a plurality of sensors (207), including physiological, motion, and environmental signals. At step 303, the method includes detecting proximity between devices to determine whether other emotion-aware social communication systems (101) are within communication range. At step 305, the method includes processing the sensor data using a processor (201) to determine mood states and activity patterns. At step 307, the method includes storing processed data and preferences in a memory (203) for personalized operation and future reference. At step 309, the method includes communicating secure userspecific information through a communication interface (205) via wireless protocols such as Bluetooth Low Energy or Near Field Communication, contingent on user consent. At step 311, the method includes configuring chromatic illumination signals using a processor (201) and a lightemitting indication system (209) to represent mood or communication intent. At step 313, the method includes displaying chromatic illuminations through the light-emitting indication system (209) around a watch face and along a watch strap (215). At step 315, the method includes presenting information and receiving inputs through a user interface (211) via a touchscreen or physical interactions.

[0049] Referring to FIGs. 4A and 4B, FIGs. 4A and 4B collectively illustrate performance parameters and validation data for mood detection functionality and secure communication features of the emotion-aware social communication system, in accordance with an embodiment of the present disclosure. Specifically, FIG. 4A presents a table showing detailed performance parameters of the emotion-aware social communication system (101) in accordance with an embodiment of the present disclosure, focusing on the system's capability for mood detection. The table enumerates various sensor types, including heart rate variability sensors, electrodermal activity (EDA) sensors, skin temperature sensors, accelerometers, and gyroscopes, each contributing specific physiological or environmental measurements relevant to determining a user's emotional state. It specifies typical accuracy values, such as ±2-3 bpm for heart rate detection and ±0.1°C for skin temperature measurement, highlighting the precision of the hardware used. The table also captures estimated mood classification accuracy, ranging from approximately 80% to 90% when multiple sensor inputs are combined using advanced algorithms. This data validates the system's technical effectiveness in accurately identifying user moods in real-time, an essential feature for the invention's core purpose of emotion-aware communication.

[0050] Furthermore, FIG. 4B illustrates another table showing performance metrics related to secure communication functionality in the emotion- aware social communication system (101), in accordance with an example embodiment of the present disclosure. This table details parameters such as Bluetooth Low Energy (BLE) communication range, data transfer rates, typical handshake times, and data encryption protocols employed during proximity- based device interactions. For example, it specifies a BLE range of approximately 30 to 50 meters indoors and outlines typical connection establishment times ranging from 50 to 500 milliseconds. Data security is emphasized through the mention of encryption methods like AES-128 or AES-256, ensuring that userspecific data remains confidential during exchange with other devices. Additionally, the table indicates that consent verification processes typically require 1 to 3 seconds, allowing users to actively control when and how their personal information is shared. Overall, Table 2 demonstrates the robustness and practicality of secure, consent-based communication as implemented in the invention. Referring to FIG. 5, illustrated is a graphical representation of mood detection accuracy as a function of different sensor combinations employed in the emotion-aware social communication system (101), in accordance with an embodiment of the present disclosure. The graphical representation presents various sensor scenarios, ranging from singlesensor configurations, such as motion-only or skin temperature-only measurements, to a comprehensive multi-sensor approach integrating heart rate variability, EDA, skin temperature, and motion data. It visually depicts how mood detection accuracy improves substantially when multiple sensor modalities are combined, rising from approximately 40- 50% with single sensors to about 80-90% when all sensors are integrated. This visual representation underscores the invention's technical advantage in using sensor fusion to achieve reliable mood assessment. FIG. 5 serves to validate the invention's design choice to integrate diverse sensors, ensuring a high degree of precision and robustness in real-time mood recognition, which is crucial for delivering accurate emotion-aware communication to the user.

[0051] According to an example embodiment of the system, the emotion-aware social communication system (101) may be implemented as a smart wristwatch incorporating the Nordic nRF52811 processor (201), the memory (203) for storing user profiles and historical data, and the communication interface (205) supporting Bluetooth Low Energy (BLE) for secure wireless communication. The plurality of sensors (207) may include heart rate sensors, electrodermal activity (EDA) sensors, skin temperature sensors, accelerometers, and gyroscopes. The light-emitting indication system (209) may consist of WS2812B individually addressable RGB LEDs arranged around the bezel and along the watch strap (215), enabling dynamic chromatic illumination to reflect the user's mood or communication intent. The user interface (211) may be an AMOLED touchscreen integrated into the display, while the housing (213) may be formed from water-resistant stainless steel. This embodiment enables real-time mood detection and secure, user-consented data exchange with other devices in close proximity, fulfilling the invention's primary technical objectives.

[0052] According to an example embodiment of the system, the wearable communication device is implemented in a form selected from a wristwatch, a ring, a pendant, or eyewear. This means that the emotion- aware social communication system (101) may be implemented in the form of a smart ring, a wearable pendant, a wristwatch, or the eyewear such as eyeglasses. These are all wearable devices, with different ergonomic and aesthetic profiles, enabling broader applications of the emotion-aware social communication system. In this configuration, the system may employ an ultra-compact microcontroller such as the Nordic nRF52811 for processing tasks, accompanied by a flexible printed circuit board integrating a plurality of sensors (207) such as photoplethysmography (PPG) sensors, skin temperature sensors, and EDA sensors. The light-emitting indication system (209) may consist of micro-sized WS2812C-2020 LEDs arranged circumferentially around the ring or embedded along the pendant's surface for chromatic signalling. The communication interface (205) may utilize BLE and Near Field Communication (NFC) to enable proximity- based secure data transfer. The user interface (211) may include capacitive touch sensors for input, while the housing (213) may consist of durable, hypoallergenic materials such as titanium or thermoplastic elastomers. This embodiment broadens the invention's scope to alternative wearable form factors, offering users diverse styling and application options while preserving the core functionality of mood-based social communication. Such form factors increase the adoption and integration of emotion-aware social technology into daily life, improves ergonomics and convenience by offering multiple wearable options, and enhances user agency in choosing device types that align with their lifestyle and context. According to an example embodiment of the system, the emotion-aware social communication system (101) may incorporate advanced sensor combinations and communication technologies to support complex environments like healthcare monitoring or large-scale social events. In this embodiment, the plurality of sensors (207) may include all previously described sensors, heart rate, EDA, PPG, accelerometers, gyroscopes, skin temperature sensors, and additionally a lidar sensor for precise proximity detection. The communication interface (205) may support not only BLE and NFC but also LoRa or Wi-Fi for extended-range communication in large venues. The processor (201) may run machine learning algorithms capable of multi-class mood classification and anomaly detection for health alerts. The light-emitting indication system (209) may be enhanced with high-density RGB LED matrices capable of complex patterns and animations. The user interface (211) may combine a high-resolution display with voice recognition for hands-free control, and the housing (213) may be designed for rugged use with advanced waterproofing and impact resistance. This embodiment illustrates the invention's scalability and adaptability for future applications in healthcare, enterprise networking, and event-driven social interaction.

[0053] Provided figures are merely examples, which should not unduly limit the scope of the claims herein. A person skilled in the art will recognize many variations, alternatives, and modifications of embodiments of the present disclosure.

Claims

CLAIMSWhat is claimed is:

1. An emotion-aware social communication system (101), comprising: a) a processor (201) configured to execute algorithms for determining a user's mood state based on biometric and environmental data; b) a memory (203) operatively connected to the processor (201) for storing user-specific data, historical records, and executable instructions; c) a communication interface (205) configured to securely exchange user-specific information with external devices using wireless communication protocols; d) a plurality of sensors (207) configured to capture biometric and environmental signals; e) a light-emitting indication system (209) configured to emit chromatic illumination signals corresponding to the detected mood state or communication intent; f) a user interface (211) configured to present information to the user and receive user inputs; and g) a housing (213) and a wearable structure adapted to support the system components and maintain contact with the user's skin, wherein the system is configured to determine the mood state of the user in real-time and to visually communicate the mood state or communication intent through chromatic illumination, and further to securely exchange user-specific information with an external device upon obtaining user consent.

2. An emotion-aware social communication system (101) according to claim 1, wherein the communication interface is configured to operateusing wireless protocols suitable for short-range communication, including near field communication (NFC) or Bluetooth low energy (BLE).

3. An emotion-aware social communication system (101) according to any of the preceding claims, wherein the processor (201) is configured to apply machine learning algorithms to improve the accuracy of mood state inference over time, and to perform encryption operations using advanced encryption standard (AES) protocols, including AES-128 or AES-256, for securing the user-specific information during communication.

4. An emotion-aware social communication system (101) according to any of the preceding claims, wherein the light-emitting indication system comprises multi-colour LEDs capable of producing various colours and patterns to signal different user moods or communication intents.

5. An emotion-aware social communication system (101) according to any of the preceding claims, wherein the plurality of sensors (207) comprises at least one sensor selected from the group consisting of a heart rate sensor, an electrodermal activity (EDA) sensor, a photoplethysmography (PPG) sensor, a skin temperature sensor, an accelerometer, a gyroscope, an ambient temperature sensor, and a lidar sensor module.

6. An emotion-aware social communication system (101) according to any of the preceding claims, wherein the user-specific information exchanged comprises data relating to social networking profiles, contact details, or communication preferences.

7. An emotion-aware social communication system (101) according to any of the preceding claims, wherein the wearable communication device is implemented in a form selected from a wristwatch, a ring, a pendant, or eyewear.

8. An emotion-aware social communication system (101) according to any of the preceding claims, wherein the external device furthercomprises a user interface configured to display information and receive user inputs for controlling device functions.

9. A method for enabling secure, emotion-aware communication between wearable devices, the method comprising: a) obtaining user-specific data through a plurality of sensors (207), including physiological, motion, and environmental signals; b) detecting proximity between devices to determine whether other emotion-aware social communication systems (101) are within communication range; c) processing the sensor data using a processor (201) to determine mood states and activity patterns; d) storing processed data and preferences in memory (203) for personalized operation and future reference; e) communicating secure user-specific information through a communication interface (205) via wireless protocols such as Bluetooth Low Energy or Near Field Communication, contingent on user consent; f) configuring chromatic illumination signals using a processor (201) and an light-emitting indication system (209) to represent mood or communication intent; g) displaying chromatic illuminations through the light-emitting indication system (209) around a watch face and along a watch strap (215); and h) presenting information and receiving inputs through a user interface (211) via a touchscreen or physical interactions.

10. A method for enabling secure, emotion-aware communication between wearable devices according to claim 9, wherein after detecting proximity and initiating a connection request between the wearable communication devices, verifying user consent, and upon receiving suchconsent, performing encryption of user-specific information using advanced encryption standard (AES) protocols, including AES-128 or AES-256, prior to exchanging the encrypted information between the devices.

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