Wearable Gesture and Voice Purchasing for Discreet Item Recognition
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Solution Overview
Problem
Existing methods for purchasing items on the go are inconvenient and disruptive, especially in social situations, as they require manual interaction with smartphones, which can be rude or awkward.
Innovation Solution
A wearable computing device that recognizes gestures and/or sound-based commands to facilitate item recognition and purchase, using object recognition techniques and machine learning to identify items and execute transactions without manual smartphone interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a person uses a smartphone to locate and purchase an item, then the purchase can be completed, but the process is inconvenient and disruptive in social situations
Solution Approach 1:
The patent replaces manual smartphone operations (mechanical interaction with buttons, screen tapping) with voice-based commands and gesture controls. The wearable device captures voice commands through a microphone and gestures through sensors, eliminating the need to manually handle a smartphone in public settings.
Solution Approach 2:
The wearable computing device serves as an intermediary between the user and the purchase system. It captures voice commands and gestures, processes them, and executes purchases without requiring the user to directly interact with a smartphone or computer interface, thus maintaining social etiquette while enabling purchases.
2Productivity
If a person manually operates a smartphone to make a purchase, then the transaction can be completed, but it requires multiple steps and time
Solution Approach 1:
The system performs preliminary actions by pre-configuring user profiles, payment methods, and shipping addresses in the wearable device. When a user wants to make a purchase, the device already has the necessary information ready, eliminating the need to manually enter data during the transaction.
Solution Approach 2:
The patent merges multiple separate operations (item search, product selection, price comparison, payment processing) into a single integrated workflow controlled by voice commands and gestures. The wearable device coordinates all these steps automatically, reducing the number of user actions required.
3Ease of operation
If a person takes out a smartphone to make a purchase in a crowded area, then the purchase can be made, but it blocks pedestrians and traffic
Solution Approach 1:
The patent replaces the mechanical action of holding and manipulating a smartphone with hands-free voice commands and gestures. This allows users to make purchases without occupying their hands or blocking their view, enabling them to navigate crowded areas safely while still completing transactions.
4Object-affected harmful factors
If a person uses a wearable device with voice commands and gestures, then social etiquette is maintained, but the system complexity increases
Solution Approach 1:
The wearable computing device performs multiple functions (voice recognition, gesture detection, image capture, object recognition, payment processing) within a single integrated platform. This multi-functionality reduces the need for separate devices or systems, managing complexity through consolidation rather than proliferation of components.
Data Source
AI summary
Gestures and/or sound-based commands are used to make purchases on a wearable computing device. The wearable computing device is configured to recognize detected gestures and/or sound-based commands as indicating to execute specific actions. The user sees an item of interest and points a camera/lens of the wearable computing device at the item. The user makes physical gestures and/or gives sound-based commands indicating to perform object recognition of the item. The wearable computing device detects the physical gesture(s) using sensors, and/or detects the sound-based command(s) utilizing a microphone. In response, an image of the item is created, and object recognition of the item is performed based on the image. Results of the object recognition are output. The user makes physical gestures and/or gives sound-based commands indicating to purchase the item. These are detected and recognized, and in response an instance of the item is purchased from an online source.


